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Generalized geometric zero-truncated Poisson distribution: Properties and numerical analysis

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Abstract

This article introduces a new discrete probability distribution, namely, the generalized geometric zero-truncated Poisson (GGZTP) distribution which contains two parameters. It is derived by combining geometric and zero-truncated Poisson distributions. The GGZTP distribution offers a more flexible tool for modeling a wider variety of count data due to its advantageous index of dispersion. Several statistical functions of the proposed distribution are derived. Maximum likelihood estimation is employed to find estimators of the GGZTP's parameters. A simulation study is then conducted to examine the performance of the proposed estimator. The results show that the average estimate for each parameter approaches its actual value as the sample size increases.

Original languageEnglish
Article number012005
JournalJournal of Physics: Conference Series
Volume3042
Issue number1
DOIs
Publication statusPublished - 2025
Event15th International Conference on Applied Physics and Mathematics, ICAPM 2025 - Tokyo, Japan
Duration: 10 Apr 202512 Apr 2025

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