Analyzing insurance data with an exponentiated composite inverse Gamma-Pareto model

@article{Liu2021AnalyzingID,
  title={Analyzing insurance data with an exponentiated composite inverse Gamma-Pareto model},
  author={Bo Liu and Malwane M. A. Ananda},
  journal={Communications in Statistics - Theory and Methods},
  year={2021}
}
  • Bo LiuM. Ananda
  • Published 14 August 2021
  • Mathematics
  • Communications in Statistics - Theory and Methods
Exponentiated models have been widely used in modeling various types of data such as survival data and insurance claims data. However, the exponentiated composite distribution models have not been explored yet. In this paper, we introduce an improvement of the one-parameter Inverse GammaPareto composite model by exponentiating the random variable associated with the one-parameter Inverse Gamma-Pareto composite distribution function. The goodness-of-fit of the exponentiated Inverse Gamma-Pareto… 

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