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Common Case Distributions

In the previous two sections, we introduce the most common distributions for modelling the total claim losses. In this section, we are going to discuss several models, which are using for modelling the most useful distributions used in case numbers, such as poisson distribution, negative binomial distribution and binomial distribution.

Poisson Distribution

Characteristics of the Poisson Distribution

If a random variable follows a Poisson distribution, we write

where is the parameter of the distribution.

  • PDF:
  • CDF:
  • Survival function:

Propositions of the Poisson Distribution

  • MGF:
  • Mean:
  • Variance:

::: note Second moment

:::

  • Skewness:

::: note Third moment

:::

Estimation of parameters

Method of moments (MM)
Maximum likelihood estimation (MLE)

Binomial Distribution

Propositions of the Binomial Distribution

Estimation of parameters

Method of moments (MM)
Maximum likelihood estimation (MLE)

Negative Binomial Distribution

Propositions of the Negative Binomial Distribution

Estimation of parameters

Method of moments (MM)
Maximum likelihood estimation (MLE)

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