A Novel Discrete Generator with Modeling Engineering, Agricultural and Medical Count and Zero-Inflated Real Data with Bayesian, and Non-Bayesian Inference

A Novel Discrete Generator with Modeling Engineering, Agricultural and Medical Count and Zero-Inflated Real Data with Bayesian, and Non-Bayesian Inference

This study introduces a unique flexible family of discrete probability distributions for modeling extreme count and zero-inflated count data with different failure rates. Certain significant mathematical properties, such as the cumulant generating function, moment generating function, dispersion ind...

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Bibliographic Details
Main Authors: Walid Emam, Yusra Tashkandy, G.G. Hamedani, Mohamed Abdelhamed Shehab, Mohamed Ibrahim, Haitham M. Yousof
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Mathematics
Subjects:
discretization
Bayesian estimation
metropolis-hastings
maximum likelihood
Cramér-von-Mises
Markov chain Monte Carlo
Online Access:https://www.mdpi.com/2227-7390/11/5/1125

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