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Search, Evaluate, and Read Evidence","\u002Fen\u002Facademic-writing\u002F02-reading-and-literature-matrix","en\u002Facademic-writing\u002F02-reading-and-literature-matrix",{"title":27,"path":28,"stem":29},"3. From Sources to Synthesis and Argument","\u002Fen\u002Facademic-writing\u002F03-arguments-outlines-and-paragraphs","en\u002Facademic-writing\u002F03-arguments-outlines-and-paragraphs",{"title":31,"path":32,"stem":33},"4. Literature Review and a Defensible Gap","\u002Fen\u002Facademic-writing\u002F04-writing-the-literature-review","en\u002Facademic-writing\u002F04-writing-the-literature-review",{"title":35,"path":36,"stem":37},"5. Research Design, Evidence, and Core Sections","\u002Fen\u002Facademic-writing\u002F05-core-sections-and-evidence","en\u002Facademic-writing\u002F05-core-sections-and-evidence",{"title":39,"path":40,"stem":41},"6. Citation, Paraphrasing, Integrity, and AI","\u002Fen\u002Facademic-writing\u002F06-citation-paraphrasing-and-integrity","en\u002Facademic-writing\u002F06-citation-paraphrasing-and-integrity",{"title":43,"path":44,"stem":45},"7. Revision, Review, and Submission","\u002Fen\u002Facademic-writing\u002F07-revision-style-and-submission","en\u002Facademic-writing\u002F07-revision-style-and-submission",{"title":47,"path":48,"stem":49},"8. Research Workbook","\u002Fen\u002Facademic-writing\u002F08-literature-review-checklist-and-template","en\u002Facademic-writing\u002F08-literature-review-checklist-and-template",{"title":51,"path":52,"stem":53},"9. Research Workflow and Tools","\u002Fen\u002Facademic-writing\u002F09-tools-for-academic-writing-and-literature-management","en\u002Facademic-writing\u002F09-tools-for-academic-writing-and-literature-management",{"title":55,"path":56,"stem":57},"10. Worked Project — From Question to Defensible Conclusion","\u002Fen\u002Facademic-writing\u002F10-worked-example-from-block-structure-to-question-chain","en\u002Facademic-writing\u002F10-worked-example-from-block-structure-to-question-chain",{"title":59,"path":60,"stem":61,"children":62,"page":249},"Accounting","\u002Fen\u002Faccounting","en\u002Faccounting",[63,69,87,93,193],{"title":64,"path":65,"stem":66,"children":67},"Accounting — From Evidence to Decisions","\u002Fen\u002Faccounting\u002F00-index","en\u002Faccounting\u002F00-index",[68],{"title":64,"path":65,"stem":66},{"title":70,"path":71,"stem":72,"children":73},"Accounting Appendix","\u002Fen\u002Faccounting\u002Fappendix","en\u002Faccounting\u002Fappendix\u002Findex",[74,75,79,83],{"title":70,"path":71,"stem":72},{"title":76,"path":77,"stem":78},"Worked Examples and Error Diagnosis","\u002Fen\u002Faccounting\u002Fappendix\u002F24-examples-pitfalls","en\u002Faccounting\u002Fappendix\u002F24-examples-pitfalls",{"title":80,"path":81,"stem":82},"Accounting Glossary","\u002Fen\u002Faccounting\u002Fappendix\u002F26-glossary","en\u002Faccounting\u002Fappendix\u002F26-glossary",{"title":84,"path":85,"stem":86},"Reading and Evidence Map","\u002Fen\u002Faccounting\u002Fappendix\u002F27-reading-map","en\u002Faccounting\u002Fappendix\u002F27-reading-map",{"title":88,"path":89,"stem":90,"children":91},"Northstar Record-to-Decision Capstone","\u002Fen\u002Faccounting\u002Fcapstone","en\u002Faccounting\u002Fcapstone\u002Findex",[92],{"title":88,"path":89,"stem":90},{"title":94,"path":95,"stem":96,"children":97},"Financial Accounting","\u002Fen\u002Faccounting\u002Ffinancial-accounting","en\u002Faccounting\u002Ffinancial-accounting\u002Findex",[98,99,117,131,165,179],{"title":94,"path":95,"stem":96},{"title":100,"path":101,"stem":102,"children":103},"1. Foundations","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002Findex",[104,105,109,113],{"title":100,"path":101,"stem":102},{"title":106,"path":107,"stem":108},"Objectives and Qualitative Characteristics","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F01-objectives-qualitative-characteristics","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F01-objectives-qualitative-characteristics",{"title":110,"path":111,"stem":112},"Equation and Elements","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F02-equation-elements","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F02-equation-elements",{"title":114,"path":115,"stem":116},"Accrual Basis, Estimates and Periods","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F03-accounting-bases-principles","en\u002Faccounting\u002Ffinancial-accounting\u002F01-foundations\u002F03-accounting-bases-principles",{"title":118,"path":119,"stem":120,"children":121},"2. Recording Transactions","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002Findex",[122,123,127],{"title":118,"path":119,"stem":120},{"title":124,"path":125,"stem":126},"Double-Entry and Debit\u002FCredit","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F04-double-entry-dr-cr","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F04-double-entry-dr-cr",{"title":128,"path":129,"stem":130},"Accounting Cycle","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F05-accounting-cycle","en\u002Faccounting\u002Ffinancial-accounting\u002F02-recording-transactions\u002F05-accounting-cycle",{"title":132,"path":133,"stem":134,"children":135},"3. Measurement and Adjustments","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002Findex",[136,137,141,145,149,153,157,161],{"title":132,"path":133,"stem":134},{"title":138,"path":139,"stem":140},"Revenue Recognition","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F07-revenue-recognition","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F07-revenue-recognition",{"title":142,"path":143,"stem":144},"Inventory","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F08-inventory","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F08-inventory",{"title":146,"path":147,"stem":148},"Receivables and Expected Credit Losses","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F09-receivables","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F09-receivables",{"title":150,"path":151,"stem":152},"Property, Plant and Equipment","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F10-ppe","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F10-ppe",{"title":154,"path":155,"stem":156},"Intangible Assets","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F11-intangibles","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F11-intangibles",{"title":158,"path":159,"stem":160},"Leases","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F12-leases","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F12-leases",{"title":162,"path":163,"stem":164},"Current and Deferred Income Tax","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F13-income-tax","en\u002Faccounting\u002Ffinancial-accounting\u002F03-measurement-adjustments\u002F13-income-tax",{"title":166,"path":167,"stem":168,"children":169},"4. Reporting and Cash","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002Findex",[170,171,175],{"title":166,"path":167,"stem":168},{"title":172,"path":173,"stem":174},"Linked Financial Statements","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F06-financial-statements","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F06-financial-statements",{"title":176,"path":177,"stem":178},"Cash, Reconciliation and Internal Control","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F14-cash-control","en\u002Faccounting\u002Ffinancial-accounting\u002F04-reporting-cash\u002F14-cash-control",{"title":180,"path":181,"stem":182,"children":183},"5. Analysis and Comparison","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002Findex",[184,185,189],{"title":180,"path":181,"stem":182},{"title":186,"path":187,"stem":188},"Ratio Analysis","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F15-ratio-analysis","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F15-ratio-analysis",{"title":190,"path":191,"stem":192},"IFRS versus US GAAP","\u002Fen\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F25-ifrs-gaap","en\u002Faccounting\u002Ffinancial-accounting\u002F05-analysis-comparison\u002F25-ifrs-gaap",{"title":194,"path":195,"stem":196,"children":197},"Management Accounting","\u002Fen\u002Faccounting\u002Fmanagement-accounting","en\u002Faccounting\u002Fmanagement-accounting\u002Findex",[198,199,217,235],{"title":194,"path":195,"stem":196},{"title":200,"path":201,"stem":202,"children":203},"1. Cost Foundations","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002Findex",[204,205,209,213],{"title":200,"path":201,"stem":202},{"title":206,"path":207,"stem":208},"Cost Concepts and Behaviour","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F16-cost-concepts","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F16-cost-concepts",{"title":210,"path":211,"stem":212},"Costing Systems","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F17-costing-systems","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F17-costing-systems",{"title":214,"path":215,"stem":216},"Variable and Absorption Costing","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F19-variable-vs-absorption","en\u002Faccounting\u002Fmanagement-accounting\u002F01-cost-foundations\u002F19-variable-vs-absorption",{"title":218,"path":219,"stem":220,"children":221},"2. Planning and Control","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002Findex",[222,223,227,231],{"title":218,"path":219,"stem":220},{"title":224,"path":225,"stem":226},"Cost–Volume–Profit Analysis","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F18-cvp-analysis","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F18-cvp-analysis",{"title":228,"path":229,"stem":230},"Budgeting and Variance Analysis","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F20-budgeting-variances","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F20-budgeting-variances",{"title":232,"path":233,"stem":234},"Performance Measurement","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F21-performance-measurement","en\u002Faccounting\u002Fmanagement-accounting\u002F02-planning-control\u002F21-performance-measurement",{"title":236,"path":237,"stem":238,"children":239},"3. Decisions and Investment","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002Findex",[240,241,245],{"title":236,"path":237,"stem":238},{"title":242,"path":243,"stem":244},"Short-Term Decisions","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F22-short-term-decisions","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F22-short-term-decisions",{"title":246,"path":247,"stem":248},"Capital Budgeting","\u002Fen\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F23-capital-budgeting","en\u002Faccounting\u002Fmanagement-accounting\u002F03-decisions-investment\u002F23-capital-budgeting",false,{"title":251,"path":252,"stem":253,"children":254,"page":249},"Business Analytics","\u002Fen\u002Fbusiness-analytics","en\u002Fbusiness-analytics",[255,261,279,305,335,365,383,400],{"title":256,"path":257,"stem":258,"children":259},"Business Analytics — From Data to Defensible Action","\u002Fen\u002Fbusiness-analytics\u002F00-index","en\u002Fbusiness-analytics\u002F00-index",[260],{"title":256,"path":257,"stem":258},{"title":262,"path":263,"stem":264,"children":265},"0. Decision and Data Foundations","\u002Fen\u002Fbusiness-analytics\u002F00-intro","en\u002Fbusiness-analytics\u002F00-intro\u002Findex",[266,267,271,275],{"title":262,"path":263,"stem":264},{"title":268,"path":269,"stem":270},"Decision Framing","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F01-decision-framing","en\u002Fbusiness-analytics\u002F00-intro\u002F01-decision-framing",{"title":272,"path":273,"stem":274},"Data Contracts","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F02-data-contracts","en\u002Fbusiness-analytics\u002F00-intro\u002F02-data-contracts",{"title":276,"path":277,"stem":278},"Reproducible Analytics Workflow","\u002Fen\u002Fbusiness-analytics\u002F00-intro\u002F03-reproducible-workflow","en\u002Fbusiness-analytics\u002F00-intro\u002F03-reproducible-workflow",{"title":280,"path":281,"stem":282,"children":283},"1. Descriptive Analytics","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive","en\u002Fbusiness-analytics\u002F01-descriptive\u002Findex",[284,285,289,293,297,301],{"title":280,"path":281,"stem":282},{"title":286,"path":287,"stem":288},"Distributions and Exploratory Data Analysis","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F04-distributions-eda","en\u002Fbusiness-analytics\u002F01-descriptive\u002F04-distributions-eda",{"title":290,"path":291,"stem":292},"KPIs and Denominators","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F05-kpis-denominators","en\u002Fbusiness-analytics\u002F01-descriptive\u002F05-kpis-denominators",{"title":294,"path":295,"stem":296},"Segments, Cohorts and Funnels","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F06-segmentation-cohorts-funnels","en\u002Fbusiness-analytics\u002F01-descriptive\u002F06-segmentation-cohorts-funnels",{"title":298,"path":299,"stem":300},"Visual Evidence and Data Stories","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F07-visualisation-story","en\u002Fbusiness-analytics\u002F01-descriptive\u002F07-visualisation-story",{"title":302,"path":303,"stem":304},"Experiments and Causal Boundaries","\u002Fen\u002Fbusiness-analytics\u002F01-descriptive\u002F08-experiments-causal-boundary","en\u002Fbusiness-analytics\u002F01-descriptive\u002F08-experiments-causal-boundary",{"title":306,"path":307,"stem":308,"children":309},"2. Predictive Analytics","\u002Fen\u002Fbusiness-analytics\u002F02-predictive","en\u002Fbusiness-analytics\u002F02-predictive\u002Findex",[310,311,315,319,323,327,331],{"title":306,"path":307,"stem":308},{"title":312,"path":313,"stem":314},"Validation, Baselines and Leakage","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F09-validation-leakage","en\u002Fbusiness-analytics\u002F02-predictive\u002F09-validation-leakage",{"title":316,"path":317,"stem":318},"Regression and Forecasting","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F10-regression-forecasting","en\u002Fbusiness-analytics\u002F02-predictive\u002F10-regression-forecasting",{"title":320,"path":321,"stem":322},"Classification and Calibration","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F11-classification-calibration","en\u002Fbusiness-analytics\u002F02-predictive\u002F11-classification-calibration",{"title":324,"path":325,"stem":326},"Trees and Ensembles","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F12-trees-ensembles","en\u002Fbusiness-analytics\u002F02-predictive\u002F12-trees-ensembles",{"title":328,"path":329,"stem":330},"Decision Metrics and Thresholds","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F13-decision-metrics-thresholds","en\u002Fbusiness-analytics\u002F02-predictive\u002F13-decision-metrics-thresholds",{"title":332,"path":333,"stem":334},"Explainability, Monitoring and Drift","\u002Fen\u002Fbusiness-analytics\u002F02-predictive\u002F14-explainability-drift","en\u002Fbusiness-analytics\u002F02-predictive\u002F14-explainability-drift",{"title":336,"path":337,"stem":338,"children":339},"3. Prescriptive Analytics","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive","en\u002Fbusiness-analytics\u002F03-prescriptive\u002Findex",[340,341,345,349,353,357,361],{"title":336,"path":337,"stem":338},{"title":342,"path":343,"stem":344},"Decision-Making under Uncertainty","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F15-decision-uncertainty","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F15-decision-uncertainty",{"title":346,"path":347,"stem":348},"Linear Optimisation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F16-linear-optimization","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F16-linear-optimization",{"title":350,"path":351,"stem":352},"Inventory and Allocation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F17-inventory-allocation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F17-inventory-allocation",{"title":354,"path":355,"stem":356},"Queueing and Simulation","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F18-queueing-simulation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F18-queueing-simulation",{"title":358,"path":359,"stem":360},"Pricing and Revenue Management","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F19-pricing-experimentation","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F19-pricing-experimentation",{"title":362,"path":363,"stem":364},"Causal Targeting and Policy Learning","\u002Fen\u002Fbusiness-analytics\u002F03-prescriptive\u002F20-causal-targeting","en\u002Fbusiness-analytics\u002F03-prescriptive\u002F20-causal-targeting",{"title":366,"path":367,"stem":368,"children":369},"4. Deployment and Governance","\u002Fen\u002Fbusiness-analytics\u002F04-deployment","en\u002Fbusiness-analytics\u002F04-deployment\u002Findex",[370,371,375,379],{"title":366,"path":367,"stem":368},{"title":372,"path":373,"stem":374},"Data Products and Monitoring","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F21-data-products-monitoring","en\u002Fbusiness-analytics\u002F04-deployment\u002F21-data-products-monitoring",{"title":376,"path":377,"stem":378},"Governance, Fairness and Privacy","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F22-governance-fairness-privacy","en\u002Fbusiness-analytics\u002F04-deployment\u002F22-governance-fairness-privacy",{"title":380,"path":381,"stem":382},"Adoption and Business Value","\u002Fen\u002Fbusiness-analytics\u002F04-deployment\u002F23-adoption-value","en\u002Fbusiness-analytics\u002F04-deployment\u002F23-adoption-value",{"title":384,"path":385,"stem":386,"children":387},"Appendix and Revision Tools","\u002Fen\u002Fbusiness-analytics\u002Fappendix","en\u002Fbusiness-analytics\u002Fappendix\u002Findex",[388,389,393,397],{"title":384,"path":385,"stem":386},{"title":390,"path":391,"stem":392},"Formula and Decision Map","\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F24-formula-map","en\u002Fbusiness-analytics\u002Fappendix\u002F24-formula-map",{"title":394,"path":395,"stem":396},"Worked Examples and Pitfalls","\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F25-worked-examples-pitfalls","en\u002Fbusiness-analytics\u002Fappendix\u002F25-worked-examples-pitfalls",{"title":84,"path":398,"stem":399},"\u002Fen\u002Fbusiness-analytics\u002Fappendix\u002F26-reading-map","en\u002Fbusiness-analytics\u002Fappendix\u002F26-reading-map",{"title":401,"path":402,"stem":403,"children":404},"Capstone — The Evening Delivery Promise","\u002Fen\u002Fbusiness-analytics\u002Fcapstone","en\u002Fbusiness-analytics\u002Fcapstone\u002Findex",[405],{"title":401,"path":402,"stem":403},{"title":407,"path":408,"stem":409,"children":410,"page":249},"Financial Economic Time Series","\u002Fen\u002Ffinancial-economic-time-series","en\u002Ffinancial-economic-time-series",[411,417,423,429,435,441,447,453,459,465,471],{"title":412,"path":413,"stem":414,"children":415},"Financial and Economic Time Series — Course Guide","\u002Fen\u002Ffinancial-economic-time-series\u002F00-intro","en\u002Ffinancial-economic-time-series\u002F00-intro\u002Findex",[416],{"title":412,"path":413,"stem":414},{"title":418,"path":419,"stem":420,"children":421},"Three Versions of Time Series","\u002Fen\u002Ffinancial-economic-time-series\u002F01-bridge","en\u002Ffinancial-economic-time-series\u002F01-bridge\u002Findex",[422],{"title":418,"path":419,"stem":420},{"title":424,"path":425,"stem":426,"children":427},"Data, Clocks, and Transformations","\u002Fen\u002Ffinancial-economic-time-series\u002F02-data-transformations","en\u002Ffinancial-economic-time-series\u002F02-data-transformations\u002Findex",[428],{"title":424,"path":425,"stem":426},{"title":430,"path":431,"stem":432,"children":433},"Predictive Regressions and Persistent Predictors","\u002Fen\u002Ffinancial-economic-time-series\u002F03-predictive-regressions","en\u002Ffinancial-economic-time-series\u002F03-predictive-regressions\u002Findex",[434],{"title":430,"path":431,"stem":432},{"title":436,"path":437,"stem":438,"children":439},"Volatility, Tails, and Financial Risk","\u002Fen\u002Ffinancial-economic-time-series\u002F04-volatility-risk","en\u002Ffinancial-economic-time-series\u002F04-volatility-risk\u002Findex",[440],{"title":436,"path":437,"stem":438},{"title":442,"path":443,"stem":444,"children":445},"Unit Roots, Cointegration, and Error Correction","\u002Fen\u002Ffinancial-economic-time-series\u002F05-unit-roots-cointegration","en\u002Ffinancial-economic-time-series\u002F05-unit-roots-cointegration\u002Findex",[446],{"title":442,"path":443,"stem":444},{"title":448,"path":449,"stem":450,"children":451},"VAR, Structural Identification, and Local Projections","\u002Fen\u002Ffinancial-economic-time-series\u002F06-var-identification","en\u002Ffinancial-economic-time-series\u002F06-var-identification\u002Findex",[452],{"title":448,"path":449,"stem":450},{"title":454,"path":455,"stem":456,"children":457},"State Space, Mixed Frequency, and Nowcasting","\u002Fen\u002Ffinancial-economic-time-series\u002F07-state-space-nowcasting","en\u002Ffinancial-economic-time-series\u002F07-state-space-nowcasting\u002Findex",[458],{"title":454,"path":455,"stem":456},{"title":460,"path":461,"stem":462,"children":463},"Forecast Evaluation for Decisions","\u002Fen\u002Ffinancial-economic-time-series\u002F08-forecast-evaluation","en\u002Ffinancial-economic-time-series\u002F08-forecast-evaluation\u002Findex",[464],{"title":460,"path":461,"stem":462},{"title":466,"path":467,"stem":468,"children":469},"Integrated R Laboratory","\u002Fen\u002Ffinancial-economic-time-series\u002F09-r-laboratory","en\u002Ffinancial-economic-time-series\u002F09-r-laboratory\u002Findex",[470],{"title":466,"path":467,"stem":468},{"title":472,"path":473,"stem":474,"children":475},"Capstones, Data, and Reading Ladder","\u002Fen\u002Ffinancial-economic-time-series\u002F10-capstone-readings","en\u002Ffinancial-economic-time-series\u002F10-capstone-readings\u002Findex",[476],{"title":472,"path":473,"stem":474},{"title":478,"path":479,"stem":480,"children":481,"page":249},"Intro To Economics","\u002Fen\u002Fintro-to-economics","en\u002Fintro-to-economics",[482,486,490,494,498,502,506,510,514,518,522,526,530],{"title":483,"path":484,"stem":485},"Introduction to Economics — Decisions, Markets, and the Macroeconomy","\u002Fen\u002Fintro-to-economics\u002F00-intro","en\u002Fintro-to-economics\u002F00-intro",{"title":487,"path":488,"stem":489},"Chapter 1 — Choice, Opportunity Cost, and Trade","\u002Fen\u002Fintro-to-economics\u002F01-foundations","en\u002Fintro-to-economics\u002F01-foundations",{"title":491,"path":492,"stem":493},"Chapter 2 — Demand, Supply, Equilibrium, and Welfare","\u002Fen\u002Fintro-to-economics\u002F02-demand-and-supply","en\u002Fintro-to-economics\u002F02-demand-and-supply",{"title":495,"path":496,"stem":497},"Chapter 3 — Elasticity, Revenue, and Tax Incidence","\u002Fen\u002Fintro-to-economics\u002F03-elasticity","en\u002Fintro-to-economics\u002F03-elasticity",{"title":499,"path":500,"stem":501},"Chapter 4 — Firms, Market Power, and Market Failure","\u002Fen\u002Fintro-to-economics\u002F04-market-structures","en\u002Fintro-to-economics\u002F04-market-structures",{"title":503,"path":504,"stem":505},"Chapter 5 — GDP, Income, Wealth, and Welfare","\u002Fen\u002Fintro-to-economics\u002F05-gdp-and-wealth","en\u002Fintro-to-economics\u002F05-gdp-and-wealth",{"title":507,"path":508,"stem":509},"Chapter 6 — Inflation, Purchasing Power, and Labour Markets","\u002Fen\u002Fintro-to-economics\u002F06-inflation-and-unemployment","en\u002Fintro-to-economics\u002F06-inflation-and-unemployment",{"title":511,"path":512,"stem":513},"Chapter 7 — Productivity, Technology, and Economic Growth","\u002Fen\u002Fintro-to-economics\u002F07-economic-growth","en\u002Fintro-to-economics\u002F07-economic-growth",{"title":515,"path":516,"stem":517},"Chapter 8 — Money, Credit, and Banking","\u002Fen\u002Fintro-to-economics\u002F08-money-and-banking","en\u002Fintro-to-economics\u002F08-money-and-banking",{"title":519,"path":520,"stem":521},"Chapter 9 — Business Cycles, AD–AS, and Monetary Policy","\u002Fen\u002Fintro-to-economics\u002F09-monetary-policy-and-ad-as","en\u002Fintro-to-economics\u002F09-monetary-policy-and-ad-as",{"title":523,"path":524,"stem":525},"Chapter 10 — Fiscal Policy, Distribution, and Public Debt","\u002Fen\u002Fintro-to-economics\u002F10-fiscal-policy","en\u002Fintro-to-economics\u002F10-fiscal-policy",{"title":527,"path":528,"stem":529},"Chapter 11 — Trade, Capital Flows, and Exchange Rates","\u002Fen\u002Fintro-to-economics\u002F11-open-economy-and-exchange-rates","en\u002Fintro-to-economics\u002F11-open-economy-and-exchange-rates",{"title":531,"path":532,"stem":533},"Chapter 12 — Integrated Economic Analysis Studio","\u002Fen\u002Fintro-to-economics\u002F12-review-and-case-studies","en\u002Fintro-to-economics\u002F12-review-and-case-studies",{"title":535,"path":536,"stem":537,"children":538,"page":249},"Microeconometrics","\u002Fen\u002Fmicroeconometrics","en\u002Fmicroeconometrics",[539,557,563,581,603,629,651,673,691,709],{"title":540,"path":541,"stem":542,"children":543},"0. Causal Questions and Designs","\u002Fen\u002Fmicroeconometrics\u002F00-foundations","en\u002Fmicroeconometrics\u002F00-foundations\u002Findex",[544,545,549,553],{"title":540,"path":541,"stem":542},{"title":546,"path":547,"stem":548},"Causal Questions and Estimands","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F01-causal-question-estimands","en\u002Fmicroeconometrics\u002F00-foundations\u002F01-causal-question-estimands",{"title":550,"path":551,"stem":552},"Potential Outcomes and Experiments","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F02-potential-outcomes-experiments","en\u002Fmicroeconometrics\u002F00-foundations\u002F02-potential-outcomes-experiments",{"title":554,"path":555,"stem":556},"Causal Diagrams and Controls","\u002Fen\u002Fmicroeconometrics\u002F00-foundations\u002F03-dags-controls","en\u002Fmicroeconometrics\u002F00-foundations\u002F03-dags-controls",{"title":558,"path":559,"stem":560,"children":561},"Microeconometrics — Designing Credible Counterfactuals","\u002Fen\u002Fmicroeconometrics\u002F00-index","en\u002Fmicroeconometrics\u002F00-index",[562],{"title":558,"path":559,"stem":560},{"title":564,"path":565,"stem":566,"children":567},"1. Regression and Inference","\u002Fen\u002Fmicroeconometrics\u002F01-regression","en\u002Fmicroeconometrics\u002F01-regression\u002Findex",[568,569,573,577],{"title":564,"path":565,"stem":566},{"title":570,"path":571,"stem":572},"OLS as a Projection","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F04-ols-projection","en\u002Fmicroeconometrics\u002F01-regression\u002F04-ols-projection",{"title":574,"path":575,"stem":576},"FWL, Selection and Controls","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F05-fwl-selection-controls","en\u002Fmicroeconometrics\u002F01-regression\u002F05-fwl-selection-controls",{"title":578,"path":579,"stem":580},"Inference and Clustering","\u002Fen\u002Fmicroeconometrics\u002F01-regression\u002F06-inference-clustering","en\u002Fmicroeconometrics\u002F01-regression\u002F06-inference-clustering",{"title":582,"path":583,"stem":584,"children":585},"2. Instruments and Panel Data","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel","en\u002Fmicroeconometrics\u002F02-iv-panel\u002Findex",[586,587,591,595,599],{"title":582,"path":583,"stem":584},{"title":588,"path":589,"stem":590},"Instrumental Variables","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F07-iv-identification","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F07-iv-identification",{"title":592,"path":593,"stem":594},"Weak Instruments and LATE","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F08-weak-iv-late","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F08-weak-iv-late",{"title":596,"path":597,"stem":598},"Panel Fixed Effects","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F09-panel-fixed-effects","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F09-panel-fixed-effects",{"title":600,"path":601,"stem":602},"Dynamic Panels and Limits","\u002Fen\u002Fmicroeconometrics\u002F02-iv-panel\u002F10-dynamic-panel","en\u002Fmicroeconometrics\u002F02-iv-panel\u002F10-dynamic-panel",{"title":604,"path":605,"stem":606,"children":607},"3. Policy Evaluation Designs","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs","en\u002Fmicroeconometrics\u002F03-policy-designs\u002Findex",[608,609,613,617,621,625],{"title":604,"path":605,"stem":606},{"title":610,"path":611,"stem":612},"Difference-in-Differences","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F11-did-core","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F11-did-core",{"title":614,"path":615,"stem":616},"Staggered DID and Event Studies","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F12-staggered-event-studies","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F12-staggered-event-studies",{"title":618,"path":619,"stem":620},"Regression Discontinuity","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F13-rdd","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F13-rdd",{"title":622,"path":623,"stem":624},"Matching, Weighting and Overlap","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F14-matching-weighting","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F14-matching-weighting",{"title":626,"path":627,"stem":628},"Synthetic Control","\u002Fen\u002Fmicroeconometrics\u002F03-policy-designs\u002F15-synthetic-control","en\u002Fmicroeconometrics\u002F03-policy-designs\u002F15-synthetic-control",{"title":630,"path":631,"stem":632,"children":633},"Module 4 — Choice and Limited Outcomes","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002Findex",[634,635,639,643,647],{"title":630,"path":631,"stem":632},{"title":636,"path":637,"stem":638},"Binary Choice","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F16-binary-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F16-binary-choice",{"title":640,"path":641,"stem":642},"Multinomial and Ordered Choice","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F17-multinomial-choice","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F17-multinomial-choice",{"title":644,"path":645,"stem":646},"Count Outcomes","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F18-count-outcomes","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F18-count-outcomes",{"title":648,"path":649,"stem":650},"Censoring, Truncation and Selection","\u002Fen\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F19-censoring-selection","en\u002Fmicroeconometrics\u002F04-outcomes-choice\u002F19-censoring-selection",{"title":652,"path":653,"stem":654,"children":655},"Module 5 — Modern Causal Analysis","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal","en\u002Fmicroeconometrics\u002F05-modern-causal\u002Findex",[656,657,661,665,669],{"title":652,"path":653,"stem":654},{"title":658,"path":659,"stem":660},"Double Machine Learning","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F20-dml","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F20-dml",{"title":662,"path":663,"stem":664},"Heterogeneity and Policy Learning","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F21-heterogeneity-policy","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F21-heterogeneity-policy",{"title":666,"path":667,"stem":668},"Sensitivity and Partial Identification","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F22-sensitivity-partial-id","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F22-sensitivity-partial-id",{"title":670,"path":671,"stem":672},"External Validity and Transport","\u002Fen\u002Fmicroeconometrics\u002F05-modern-causal\u002F23-external-validity","en\u002Fmicroeconometrics\u002F05-modern-causal\u002F23-external-validity",{"title":674,"path":675,"stem":676,"children":677},"Module 6 — From Data to Auditable Evidence","\u002Fen\u002Fmicroeconometrics\u002F06-workflow","en\u002Fmicroeconometrics\u002F06-workflow\u002Findex",[678,679,683,687],{"title":674,"path":675,"stem":676},{"title":680,"path":681,"stem":682},"Data Provenance","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F24-data-provenance","en\u002Fmicroeconometrics\u002F06-workflow\u002F24-data-provenance",{"title":684,"path":685,"stem":686},"Reproducibility and Reporting","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F25-reproducibility-reporting","en\u002Fmicroeconometrics\u002F06-workflow\u002F25-reproducibility-reporting",{"title":688,"path":689,"stem":690},"Paper and Evidence Audit","\u002Fen\u002Fmicroeconometrics\u002F06-workflow\u002F26-paper-audit","en\u002Fmicroeconometrics\u002F06-workflow\u002F26-paper-audit",{"title":692,"path":693,"stem":694,"children":695},"Appendix — Revision and Evidence Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix","en\u002Fmicroeconometrics\u002Fappendix\u002Findex",[696,697,701,705],{"title":692,"path":693,"stem":694},{"title":698,"path":699,"stem":700},"Formula and Design Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F27-formula-design-map","en\u002Fmicroeconometrics\u002Fappendix\u002F27-formula-design-map",{"title":702,"path":703,"stem":704},"Ten Worked Microeconometric Pitfalls","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F28-worked-pitfalls","en\u002Fmicroeconometrics\u002Fappendix\u002F28-worked-pitfalls",{"title":706,"path":707,"stem":708},"Reading and Software Map","\u002Fen\u002Fmicroeconometrics\u002Fappendix\u002F29-reading-software-map","en\u002Fmicroeconometrics\u002Fappendix\u002F29-reading-software-map",{"title":710,"path":711,"stem":712,"children":713},"Capstone — Should Northbridge Expand Pathways?","\u002Fen\u002Fmicroeconometrics\u002Fcapstone","en\u002Fmicroeconometrics\u002Fcapstone\u002Findex",[714],{"title":710,"path":711,"stem":712},{"title":716,"path":717,"stem":718,"children":719,"page":249},"Microeconomics","\u002Fen\u002Fmicroeconomics","en\u002Fmicroeconomics",[720,726,732,738,744,750,756,762,768,774,780,786,792],{"title":721,"path":722,"stem":723,"children":724},"Advanced Microeconomics — Course Guide","\u002Fen\u002Fmicroeconomics\u002F00-intro","en\u002Fmicroeconomics\u002F00-intro\u002Findex",[725],{"title":721,"path":722,"stem":723},{"title":727,"path":728,"stem":729,"children":730},"Module 1 — Choice, Duality, and Revealed Preference","\u002Fen\u002Fmicroeconomics\u002F01-fundations","en\u002Fmicroeconomics\u002F01-fundations\u002Findex",[731],{"title":727,"path":728,"stem":729},{"title":733,"path":734,"stem":735,"children":736},"Module 2 — Comparative Statics and Welfare Measurement","\u002Fen\u002Fmicroeconomics\u002F02-comparative-statics","en\u002Fmicroeconomics\u002F02-comparative-statics\u002Findex",[737],{"title":733,"path":734,"stem":735},{"title":739,"path":740,"stem":741,"children":742},"Module 3 — Choice under Risk and Insurance","\u002Fen\u002Fmicroeconomics\u002F03-uncertainty","en\u002Fmicroeconomics\u002F03-uncertainty\u002Findex",[743],{"title":739,"path":740,"stem":741},{"title":745,"path":746,"stem":747,"children":748},"Module 4 — General Equilibrium and Welfare","\u002Fen\u002Fmicroeconomics\u002F04-general-equilibrium","en\u002Fmicroeconomics\u002F04-general-equilibrium\u002Findex",[749],{"title":745,"path":746,"stem":747},{"title":751,"path":752,"stem":753,"children":754},"Module 5 — Static, Dynamic, and Repeated Games","\u002Fen\u002Fmicroeconomics\u002F05-game-theory","en\u002Fmicroeconomics\u002F05-game-theory\u002Findex",[755],{"title":751,"path":752,"stem":753},{"title":757,"path":758,"stem":759,"children":760},"Module 6 — Oligopoly, Entry, and Algorithmic Pricing","\u002Fen\u002Fmicroeconomics\u002F06-oligopoly","en\u002Fmicroeconomics\u002F06-oligopoly\u002Findex",[761],{"title":757,"path":758,"stem":759},{"title":763,"path":764,"stem":765,"children":766},"Module 7 — Information Economics and Contracts","\u002Fen\u002Fmicroeconomics\u002F07-information-economics","en\u002Fmicroeconomics\u002F07-information-economics\u002Findex",[767],{"title":763,"path":764,"stem":765},{"title":769,"path":770,"stem":771,"children":772},"Module 8 — Mechanism Design and Auctions","\u002Fen\u002Fmicroeconomics\u002F08-mechanism-design","en\u002Fmicroeconomics\u002F08-mechanism-design\u002Findex",[773],{"title":769,"path":770,"stem":771},{"title":775,"path":776,"stem":777,"children":778},"Module 9 — Behavioural and Experimental Microeconomics","\u002Fen\u002Fmicroeconomics\u002F09-behavioural-economics","en\u002Fmicroeconomics\u002F09-behavioural-economics\u002Findex",[779],{"title":775,"path":776,"stem":777},{"title":781,"path":782,"stem":783,"children":784},"Module 10 — Externalities, Public Goods, and Collective Action","\u002Fen\u002Fmicroeconomics\u002F10-externalities-public-goods","en\u002Fmicroeconomics\u002F10-externalities-public-goods\u002Findex",[785],{"title":781,"path":782,"stem":783},{"title":787,"path":788,"stem":789,"children":790},"Module 11 — Matching and Market Design","\u002Fen\u002Fmicroeconomics\u002F11-market-design","en\u002Fmicroeconomics\u002F11-market-design\u002Findex",[791],{"title":787,"path":788,"stem":789},{"title":793,"path":794,"stem":795,"children":796},"Module 12 — Integrated Microeconomic Design Studio","\u002Fen\u002Fmicroeconomics\u002F12-review","en\u002Fmicroeconomics\u002F12-review\u002Findex",[797],{"title":793,"path":794,"stem":795},{"title":799,"path":800,"stem":801,"children":802},"Playground","\u002Fen\u002Fplayground","en\u002Fplayground\u002Findex",[803,804,808,812,816,820],{"title":799,"path":800,"stem":801},{"title":805,"path":806,"stem":807},"Typst Plugin Playground","\u002Fen\u002Fplayground\u002F01-typstex","en\u002Fplayground\u002F01-typstex",{"title":809,"path":810,"stem":811},"Citation Plugin Test","\u002Fen\u002Fplayground\u002F02-citation","en\u002Fplayground\u002F02-citation",{"title":813,"path":814,"stem":815},"Pyodide Playground","\u002Fen\u002Fplayground\u002F03-pyodide","en\u002Fplayground\u002F03-pyodide",{"title":817,"path":818,"stem":819},"WebR Playground","\u002Fen\u002Fplayground\u002F04-webr","en\u002Fplayground\u002F04-webr",{"title":821,"path":822,"stem":823},"Chart.js 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文献综述的构建与写作","\u002Fzh\u002Facademic-writing\u002F04-writing-the-literature-review","zh\u002Facademic-writing\u002F04-writing-the-literature-review",{"title":1056,"path":1057,"stem":1058},"8. 文献综述清单与模板","\u002Fzh\u002Facademic-writing\u002F08-literature-review-checklist-and-template","zh\u002Facademic-writing\u002F08-literature-review-checklist-and-template",{"title":1060,"path":1061,"stem":1062},"10. 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有放回抽取 ",[1840,2576,2578,2591],{"className":2577},[1843],[1840,2579,2581],{"className":2580},[1847],[1849,2582,2583],{"xmlns":1851},[1853,2584,2585,2589],{},[1856,2586,2587],{},[1862,2588,1885],{},[1887,2590,1885],{"encoding":1889},[1840,2592,2594],{"className":2593,"ariaHidden":1872},[1894],[1840,2595,2597,2601],{"className":2596},[1898],[1840,2598],{"className":2599,"style":2600},[1902],"height:0.4306em;",[1840,2602,1885],{"className":2603},[1907,1911]," 个观测：",[1840,2606,2608],{"className":2607},[2030],[1840,2609,2611,2677],{"className":2610},[1843],[1840,2612,2614],{"className":2613},[1847],[1849,2615,2616],{"xmlns":1851,"display":2039},[1853,2617,2618,2674],{},[1856,2619,2620,2630,2632,2634,2636,2644,2662,2672],{},[2621,2622,2623,2625,2627],"msubsup",{},[1862,2624,1864],{},[1866,2626,1868],{},[1870,2628,2629],{},"∗",[1870,2631,1873],{"separator":1872},[1870,2633,1876],{},[1870,2635,1873],{"separator":1872},[2621,2637,2638,2640,2642],{},[1862,2639,1864],{},[1862,2641,1885],{},[1870,2643,2629],{},[1870,2645,2646],{},[2047,2647,2648,2653],{},[1870,2649,2650],{},[1870,2651,2652],{},"∼",[1856,2654,2655,2657,2659],{},[1862,2656,2087],{},[1862,2658,2087],{},[1862,2660,2661],{},"d",[1859,2663,2664,2670],{},[2047,2665,2666,2668],{"accent":1872},[1862,2667,2051],{},[1870,2669,2054],{"stretchy":1872},[1862,2671,1885],{},[1870,2673,1873],{"separator":1872},[1887,2675,2676],{"encoding":1889},"X_1^*,\\ldots,X_n^*\\overset{iid}{\\sim}\\widehat F_n,",[1840,2678,2680,2863],{"className":2679,"ariaHidden":1872},[1894],[1840,2681,2683,2687,2743,2746,2749,2752,2755,2758,2761,2812,2815,2860],{"className":2682},[1898],[1840,2684],{"className":2685,"style":2686},[1902],"height:1.4em;vertical-align:-0.247em;",[1840,2688,2690,2693],{"className":2689},[1907],[1840,2691,1864],{"className":2692,"style":1912},[1907,1911],[1840,2694,2696],{"className":2695},[1916],[1840,2697,2699,2734],{"className":2698},[1920,1921],[1840,2700,2702,2731],{"className":2701},[1925],[1840,2703,2706,2718],{"className":2704,"style":2705},[1929],"height:0.7387em;",[1840,2707,2709,2712],{"style":2708},"top:-2.453em;margin-left:-0.0785em;margin-right:0.05em;",[1840,2710],{"className":2711,"style":1938},[1937],[1840,2713,2715],{"className":2714},[1942,1943,1944,1945],[1840,2716,1868],{"className":2717},[1907,1945],[1840,2719,2721,2724],{"style":2720},"top:-3.113em;margin-right:0.05em;",[1840,2722],{"className":2723,"style":1938},[1937],[1840,2725,2727],{"className":2726},[1942,1943,1944,1945],[1840,2728,2629],{"className":2729},[2730,1945],"mbin",[1840,2732,1953],{"className":2733},[1952],[1840,2735,2737],{"className":2736},[1925],[1840,2738,2741],{"className":2739,"style":2740},[1929],"height:0.247em;",[1840,2742],{},[1840,2744,1873],{"className":2745},[1966],[1840,2747],{"className":2748,"style":1971},[1970],[1840,2750,1876],{"className":2751},[1975],[1840,2753],{"className":2754,"style":1971},[1970],[1840,2756,1873],{"className":2757},[1966],[1840,2759],{"className":2760,"style":1971},[1970],[1840,2762,2764,2767],{"className":2763},[1907],[1840,2765,1864],{"className":2766,"style":1912},[1907,1911],[1840,2768,2770],{"className":2769},[1916],[1840,2771,2773,2804],{"className":2772},[1920,1921],[1840,2774,2776,2801],{"className":2775},[1925],[1840,2777,2779,2790],{"className":2778,"style":2705},[1929],[1840,2780,2781,2784],{"style":2708},[1840,2782],{"className":2783,"style":1938},[1937],[1840,2785,2787],{"className":2786},[1942,1943,1944,1945],[1840,2788,1885],{"className":2789},[1907,1911,1945],[1840,2791,2792,2795],{"style":2720},[1840,2793],{"className":2794,"style":1938},[1937],[1840,2796,2798],{"className":2797},[1942,1943,1944,1945],[1840,2799,2629],{"className":2800},[2730,1945],[1840,2802,1953],{"className":2803},[1952],[1840,2805,2807],{"className":2806},[1925],[1840,2808,2810],{"className":2809,"style":2740},[1929],[1840,2811],{},[1840,2813],{"className":2814,"style":2229},[1970],[1840,2816,2818],{"className":2817},[2233],[1840,2819,2821],{"className":2820},[2320,2321],[1840,2822,2824],{"className":2823},[1920],[1840,2825,2827],{"className":2826},[1925],[1840,2828,2831,2841],{"className":2829,"style":2830},[1929],"height:1.153em;",[1840,2832,2833,2836],{"style":2148},[1840,2834],{"className":2835,"style":2152},[1937],[1840,2837,2838],{},[1840,2839,2652],{"className":2840},[2320],[1840,2842,2844,2847],{"style":2843},"top:-3.5669em;margin-left:0em;",[1840,2845],{"className":2846,"style":2152},[1937],[1840,2848,2850],{"className":2849},[1942,1943,1944,1945],[1840,2851,2853,2857],{"className":2852},[1907,1945],[1840,2854,2856],{"className":2855},[1907,1911,1945],"ii",[1840,2858,2661],{"className":2859},[1907,1911,1945],[1840,2861],{"className":2862,"style":2229},[1970],[1840,2864,2866,2870,2939],{"className":2865},[1898],[1840,2867],{"className":2868,"style":2869},[1902],"height:1.1178em;vertical-align:-0.1944em;",[1840,2871,2873,2905],{"className":2872},[1907],[1840,2874,2876],{"className":2875},[1907,2135],[1840,2877,2879],{"className":2878},[1920],[1840,2880,2882],{"className":2881},[1925],[1840,2883,2885,2893],{"className":2884,"style":2145},[1929],[1840,2886,2887,2890],{"style":2148},[1840,2888],{"className":2889,"style":2152},[1937],[1840,2891,2051],{"className":2892,"style":2156},[1907,1911],[1840,2894,2896,2899],{"className":2895,"style":2161},[2160],[1840,2897],{"className":2898,"style":2152},[1937],[1840,2900,2901],{"style":2167},[2169,2902,2903],{"xmlns":2171,"width":2172,"height":2173,"viewBox":2174,"preserveAspectRatio":2175},[2177,2904],{"d":2179},[1840,2906,2908],{"className":2907},[1916],[1840,2909,2911,2931],{"className":2910},[1920,1921],[1840,2912,2914,2928],{"className":2913},[1925],[1840,2915,2917],{"className":2916,"style":2003},[1929],[1840,2918,2919,2922],{"style":2194},[1840,2920],{"className":2921,"style":1938},[1937],[1840,2923,2925],{"className":2924},[1942,1943,1944,1945],[1840,2926,1885],{"className":2927},[1907,1911,1945],[1840,2929,1953],{"className":2930},[1952],[1840,2932,2934],{"className":2933},[1925],[1840,2935,2937],{"className":2936,"style":1960},[1929],[1840,2938],{},[1840,2940,1873],{"className":2941},[1966],[1796,2943,2944],{},"并计算",[1840,2946,2948],{"className":2947},[2030],[1840,2949,2951,3008],{"className":2950},[1843],[1840,2952,2954],{"className":2953},[1847],[1849,2955,2956],{"xmlns":1851,"display":2039},[1853,2957,2958,3005],{},[1856,2959,2960,2972,2974,2977,2979,2987,2989,2991,2993,3001,3003],{},[2961,2962,2963,2970],"msup",{},[2047,2964,2965,2968],{"accent":1872},[1862,2966,2967],{},"θ",[1870,2969,2054],{"stretchy":1872},[1870,2971,2629],{},[1870,2973,2069],{},[1862,2975,2976],{},"T",[1870,2978,2060],{"stretchy":2059},[2621,2980,2981,2983,2985],{},[1862,2982,1864],{},[1866,2984,1868],{},[1870,2986,2629],{},[1870,2988,1873],{"separator":1872},[1870,2990,1876],{},[1870,2992,1873],{"separator":1872},[2621,2994,2995,2997,2999],{},[1862,2996,1864],{},[1862,2998,1885],{},[1870,3000,2629],{},[1870,3002,2066],{"stretchy":2059},[1862,3004,2115],{"mathvariant":2114},[1887,3006,3007],{"encoding":1889},"\\widehat\\theta^*=T(X_1^*,\\ldots,X_n^*).",[1840,3009,3011,3087],{"className":3010,"ariaHidden":1872},[1894],[1840,3012,3014,3018,3078,3081,3084],{"className":3013},[1898],[1840,3015],{"className":3016,"style":3017},[1902],"height:0.9344em;",[1840,3019,3021,3055],{"className":3020},[1907],[1840,3022,3024],{"className":3023},[1907,2135],[1840,3025,3027],{"className":3026},[1920],[1840,3028,3030],{"className":3029},[1925],[1840,3031,3033,3042],{"className":3032,"style":3017},[1929],[1840,3034,3035,3038],{"style":2148},[1840,3036],{"className":3037,"style":2152},[1937],[1840,3039,2967],{"className":3040,"style":3041},[1907,1911],"margin-right:0.0278em;",[1840,3043,3046,3049],{"className":3044,"style":3045},[2160],"width:calc(100% - 0.1667em);margin-left:0.1667em;top:-3.6944em;",[1840,3047],{"className":3048,"style":2152},[1937],[1840,3050,3051],{"style":2167},[2169,3052,3053],{"xmlns":2171,"width":2172,"height":2173,"viewBox":2174,"preserveAspectRatio":2175},[2177,3054],{"d":2179},[1840,3056,3058],{"className":3057},[1916],[1840,3059,3061],{"className":3060},[1920],[1840,3062,3064],{"className":3063},[1925],[1840,3065,3067],{"className":3066,"style":2705},[1929],[1840,3068,3069,3072],{"style":2720},[1840,3070],{"className":3071,"style":1938},[1937],[1840,3073,3075],{"className":3074},[1942,1943,1944,1945],[1840,3076,2629],{"className":3077},[2730,1945],[1840,3079],{"className":3080,"style":2229},[1970],[1840,3082,2069],{"className":3083},[2233],[1840,3085],{"className":3086,"style":2229},[1970],[1840,3088,3090,3093,3096,3099,3150,3153,3156,3159,3162,3165,3168,3219,3222],{"className":3089},[1898],[1840,3091],{"className":3092,"style":2457},[1902],[1840,3094,2976],{"className":3095,"style":2156},[1907,1911],[1840,3097,2060],{"className":3098},[2218],[1840,3100,3102,3105],{"className":3101},[1907],[1840,3103,1864],{"className":3104,"style":1912},[1907,1911],[1840,3106,3108],{"className":3107},[1916],[1840,3109,3111,3142],{"className":3110},[1920,1921],[1840,3112,3114,3139],{"className":3113},[1925],[1840,3115,3117,3128],{"className":3116,"style":2705},[1929],[1840,3118,3119,3122],{"style":2708},[1840,3120],{"className":3121,"style":1938},[1937],[1840,3123,3125],{"className":3124},[1942,1943,1944,1945],[1840,3126,1868],{"className":3127},[1907,1945],[1840,3129,3130,3133],{"style":2720},[1840,3131],{"className":3132,"style":1938},[1937],[1840,3134,3136],{"className":3135},[1942,1943,1944,1945],[1840,3137,2629],{"className":3138},[2730,1945],[1840,3140,1953],{"className":3141},[1952],[1840,3143,3145],{"className":3144},[1925],[1840,3146,3148],{"className":3147,"style":2740},[1929],[1840,3149],{},[1840,3151,1873],{"className":3152},[1966],[1840,3154],{"className":3155,"style":1971},[1970],[1840,3157,1876],{"className":3158},[1975],[1840,3160],{"className":3161,"style":1971},[1970],[1840,3163,1873],{"className":3164},[1966],[1840,3166],{"className":3167,"style":1971},[1970],[1840,3169,3171,3174],{"className":3170},[1907],[1840,3172,1864],{"className":3173,"style":1912},[1907,1911],[1840,3175,3177],{"className":3176},[1916],[1840,3178,3180,3211],{"className":3179},[1920,1921],[1840,3181,3183,3208],{"className":3182},[1925],[1840,3184,3186,3197],{"className":3185,"style":2705},[1929],[1840,3187,3188,3191],{"style":2708},[1840,3189],{"className":3190,"style":1938},[1937],[1840,3192,3194],{"className":3193},[1942,1943,1944,1945],[1840,3195,1885],{"className":3196},[1907,1911,1945],[1840,3198,3199,3202],{"style":2720},[1840,3200],{"className":3201,"style":1938},[1937],[1840,3203,3205],{"className":3204},[1942,1943,1944,1945],[1840,3206,2629],{"className":3207},[2730,1945],[1840,3209,1953],{"className":3210},[1952],[1840,3212,3214],{"className":3213},[1925],[1840,3215,3217],{"className":3216,"style":2740},[1929],[1840,3218],{},[1840,3220,2066],{"className":3221},[2225],[1840,3223,2115],{"className":3224},[1907],[1796,3226,3227,3228,3259,3260,3487],{},"重复 ",[1840,3229,3231,3245],{"className":3230},[1843],[1840,3232,3234],{"className":3233},[1847],[1849,3235,3236],{"xmlns":1851},[1853,3237,3238,3243],{},[1856,3239,3240],{},[1862,3241,3242],{},"B",[1887,3244,3242],{"encoding":1889},[1840,3246,3248],{"className":3247,"ariaHidden":1872},[1894],[1840,3249,3251,3255],{"className":3250},[1898],[1840,3252],{"className":3253,"style":3254},[1902],"height:0.6833em;",[1840,3256,3242],{"className":3257,"style":3258},[1907,1911],"margin-right:0.0502em;"," 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近似条件抽样分布。",[1807,3489,3491],{"id":3490},"_2-标准误与偏差","2. 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次重抽样。",[5109,5110],"pyodide",{"code64":5111,"layout":5112,"locale":7,"packages":5113,"title":5114},"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","vertical","numpy","Python：中位数的 Bootstrap 标准误与区间",[1796,5116,5117],{},"一次区间是否覆盖真值不能评价覆盖率。应重复“生成原样本—Bootstrap—构造区间”的完整流程，统计长期覆盖。",[1807,5119,5121],{"id":5120},"_5-重抽样单位必须匹配设计","5. 重抽样单位必须匹配设计",[4442,5123,5124,5137],{},[4445,5125,5126],{},[4448,5127,5128,5131,5134],{},[4451,5129,5130],{},"数据结构",[4451,5132,5133],{},"不应做",[4451,5135,5136],{},"合适起点",[4461,5138,5139,5150,5161,5172,5183,5194],{},[4448,5140,5141,5144,5147],{},[4466,5142,5143],{},"iid 个体",[4466,5145,5146],{},"—",[4466,5148,5149],{},"个体非参数 Bootstrap",[4448,5151,5152,5155,5158],{},[4466,5153,5154],{},"聚类数据",[4466,5156,5157],{},"单独重抽组内个体",[4466,5159,5160],{},"重抽独立集群",[4448,5162,5163,5166,5169],{},[4466,5164,5165],{},"时间序列",[4466,5167,5168],{},"随机打散时间点",[4466,5170,5171],{},"moving\u002Fstationary block Bootstrap",[4448,5173,5174,5177,5180],{},[4466,5175,5176],{},"固定设计回归",[4466,5178,5179],{},"随意 pairs",[4466,5181,5182],{},"残差\u002Fwild Bootstrap 视假设而定",[4448,5184,5185,5188,5191],{},[4466,5186,5187],{},"随机设计回归",[4466,5189,5190],{},"只重抽残差",[4466,5192,5193],{},"pairs Bootstrap 可行",[4448,5195,5196,5199,5202],{},[4466,5197,5198],{},"参数模型",[4466,5200,5201],{},"忽略已知结构",[4466,5203,5204],{},"parametric Bootstrap",[1796,5206,5207,5208,5236],{},"重抽样层级错误会系统性低估不确定性，即使 ",[1840,5209,5211,5224],{"className":5210},[1843],[1840,5212,5214],{"className":5213},[1847],[1849,5215,5216],{"xmlns":1851},[1853,5217,5218,5222],{},[1856,5219,5220],{},[1862,5221,3242],{},[1887,5223,3242],{"encoding":1889},[1840,5225,5227],{"className":5226,"ariaHidden":1872},[1894],[1840,5228,5230,5233],{"className":5229},[1898],[1840,5231],{"className":5232,"style":3254},[1902],[1840,5234,3242],{"className":5235,"style":3258},[1907,1911]," 极大。",[1807,5238,5240],{"id":5239},"_6-bootstrap-何时会失败","6. Bootstrap 何时会失败",[5242,5243,5244,5247,5250,5253,5256,5259,5262],"ul",{},[1817,5245,5246],{},"样本最大值：经验分布无法生成超过已观察最大值的新值；",[1817,5248,5249],{},"稀有事件：原样本没有事件时，重抽样永远没有事件；",[1817,5251,5252],{},"非正则边界：估计量极限分布不平滑；",[1817,5254,5255],{},"模型选择：未在每次重抽样中重做选择会漏掉变异；",[1817,5257,5258],{},"强依赖：iid 重抽样破坏序列结构；",[1817,5260,5261],{},"极小样本：经验分布对总体近似太粗；",[1817,5263,5264],{},"无限方差重尾：普通 Bootstrap 均值可能不一致。",[1796,5266,5267],{},"可能替代包括 m-out-of-n Bootstrap、subsampling、参数 Bootstrap、块 Bootstrap 或专门渐近理论。",[1807,5269,5271],{"id":5270},"_7-jackknife","7. Jackknife",[1796,5273,5274,5275,5304,5305,5432],{},"删除第 ",[1840,5276,5278,5291],{"className":5277},[1843],[1840,5279,5281],{"className":5280},[1847],[1849,5282,5283],{"xmlns":1851},[1853,5284,5285,5289],{},[1856,5286,5287],{},[1862,5288,2087],{},[1887,5290,2087],{"encoding":1889},[1840,5292,5294],{"className":5293,"ariaHidden":1872},[1894],[1840,5295,5297,5301],{"className":5296},[1898],[1840,5298],{"className":5299,"style":5300},[1902],"height:0.6595em;",[1840,5302,2087],{"className":5303},[1907,1911]," 个观测得到 ",[1840,5306,5308,5338],{"className":5307},[1843],[1840,5309,5311],{"className":5310},[1847],[1849,5312,5313],{"xmlns":1851},[1853,5314,5315,5335],{},[1856,5316,5317],{},[1859,5318,5319,5325],{},[2047,5320,5321,5323],{"accent":1872},[1862,5322,2967],{},[1870,5324,2054],{"stretchy":1872},[1856,5326,5327,5329,5331,5333],{},[1870,5328,2060],{"stretchy":2059},[1870,5330,3551],{},[1862,5332,2087],{},[1870,5334,2066],{"stretchy":2059},[1887,5336,5337],{"encoding":1889},"\\widehat\\theta_{(-i)}",[1840,5339,5341],{"className":5340,"ariaHidden":1872},[1894],[1840,5342,5344,5348],{"className":5343},[1898],[1840,5345],{"className":5346,"style":5347},[1902],"height:1.2896em;vertical-align:-0.3552em;",[1840,5349,5351,5383],{"className":5350},[1907],[1840,5352,5354],{"className":5353},[1907,2135],[1840,5355,5357],{"className":5356},[1920],[1840,5358,5360],{"className":5359},[1925],[1840,5361,5363,5371],{"className":5362,"style":3017},[1929],[1840,5364,5365,5368],{"style":2148},[1840,5366],{"className":5367,"style":2152},[1937],[1840,5369,2967],{"className":5370,"style":3041},[1907,1911],[1840,5372,5374,5377],{"className":5373,"style":3045},[2160],[1840,5375],{"className":5376,"style":2152},[1937],[1840,5378,5379],{"style":2167},[2169,5380,5381],{"xmlns":2171,"width":2172,"height":2173,"viewBox":2174,"preserveAspectRatio":2175},[2177,5382],{"d":2179},[1840,5384,5386],{"className":5385},[1916],[1840,5387,5389,5423],{"className":5388},[1920,1921],[1840,5390,5392,5420],{"className":5391},[1925],[1840,5393,5396],{"className":5394,"style":5395},[1929],"height:0.3448em;",[1840,5397,5399,5402],{"style":5398},"top:-2.5198em;margin-left:-0.0278em;margin-right:0.05em;",[1840,5400],{"className":5401,"style":1938},[1937],[1840,5403,5405],{"className":5404},[1942,1943,1944,1945],[1840,5406,5408,5411,5414,5417],{"className":5407},[1907,1945],[1840,5409,2060],{"className":5410},[2218,1945],[1840,5412,3551],{"className":5413},[1907,1945],[1840,5415,2087],{"className":5416},[1907,1911,1945],[1840,5418,2066],{"className":5419},[2225,1945],[1840,5421,1953],{"className":5422},[1952],[1840,5424,5426],{"className":5425},[1925],[1840,5427,5430],{"className":5428,"style":5429},[1929],"height:0.3552em;",[1840,5431],{},"。Jackknife 可估计偏差、标准误和 BCa 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