Likelihood-based methods for the zero-one-two inflated Poisson model with applications to biomedicine

DOI10.1080/00949655.2021.1970162zbMath1530.62017OpenAlexW3196880117MaRDI QIDQ6050545

Man-Lai Tang, Yu-An Sun, Shishun Zhao, Guo-Liang Tian, Unnamed Author

Publication date: 19 September 2023

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1970162

zbMATH Keywords

EM algorithmbootstrap confidence intervalsFisher scoring algorithmzero-and-one-inflated Poisson modelzero-one-two-inflated Poisson distribution

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Cites Work

• Unnamed Item
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• Properties of the zero-and-one inflated Poisson distribution and likelihood-based inference methods
• The Calculation of Posterior Distributions by Data Augmentation
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Statistical inference for zero-and-one-inflated poisson models
• Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
• A new look at the statistical model identification

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