Complementary Gamma Zero-Truncated Poisson Distribution and Its Application

Ausaina Niyomdecha and Patchanok Srisuradetchai ()
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Ausaina Niyomdecha: Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani 12120, Thailand
Patchanok Srisuradetchai: Department of Mathematics and Statistics, Faculty of Science and Technology, Thammasat University, Pathum Thani 12120, Thailand

Mathematics, 2023, vol. 11, issue 11, 1-13

Abstract: Numerous lifetime distributions have been developed to assist researchers in various fields. This paper proposes a new continuous three-parameter lifetime distribution called the complementary gamma zero-truncated Poisson distribution (CGZTP), which combines the distribution of the maximum of a series of independently identical gamma-distributed random variables with zero-truncated Poisson random variables. The proposed distribution’s properties, including proofs of the probability density function, cumulative distribution function, survival function, hazard function, and moments, are discussed. The unknown parameters are estimated using the maximum likelihood method, whose asymptotic properties are examined. In addition, Wald confidence intervals are constructed for the CGZTP parameters. Simulation studies are conducted to evaluate the efficacy of parameter estimation, and three real-world data applications demonstrate that CGZTP can be an alternative distribution for fitting data.

Keywords: compounding; gamma distribution; zero-truncated Poisson distribution; Wald interval (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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