A new count data model applied in the analysis of vaccine adverse events and insurance claims Cover Image

A new count data model applied in the analysis of vaccine adverse events and insurance claims
A new count data model applied in the analysis of vaccine adverse events and insurance claims

Author(s): Showkat Ahmad Dar, Anwar Hassan, Peer Bilal Ahmad, Sameer Ahmad Wani
Subject(s): Methodology and research technology, Health and medicine and law
Published by: Główny Urząd Statystyczny
Keywords: poisson distribution; weighted exponential distribution; compound distribution; count data; maximum likelihood estimation;

Summary/Abstract: The article presents a new probability distribution, created by compounding the Poisson distribution with the weighted exponential distribution. Important mathematical and statistical properties of the distribution have been derived and discussed. The paper describes the proposed model’s parameter estimation, performed by means of the maximum likelihood method. Finally, real data sets are analyzed to verify the suitability of the proposed distribution in modeling count data sets representing vaccine adverse events and insurance claims.

  • Issue Year: 22/2021
  • Issue No: 3
  • Page Range: 157-174
  • Page Count: 18
  • Language: English