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Comparison of Zero Inflated Poisson (ZIP) Regression, Zero Inflated Negative Binomial Regression (ZINB) and Binomial Negative Hurdle Regression (HNB) to Model Daily Cigarette Consumption Data for Adult Population in Indonesia

Drajat Indra Purnama

Jurnal Matematika, Statistika dan Komputasi. 2021;17(3):357-369

NBZIMM: negative binomial and zero-inflated mixed models, with application to microbiome/metagenomics data analysis

Xinyan Zhang, Nengjun Yi

BMC Bioinformatics. 2020;21(1):

A bivariate zero-inflated negative binomial regression model for count data with excess zeros

Peiming Wang

Economics Letters. 2003;78(3):373-378

Bayesian negative binomial logit hurdle and zero-inflated model for characterizing smoking intensity

Mekuanint Simeneh Workie, Abebaw Gedef Azene

Journal of Big Data. 2021;8(1):

Analysis Death Rate of Age Model with Excess Zeros using Zero Inflated Negative Binomial and Negative Binomial Death Rate: Mortality AIDS Co-Infection Patients, Kelantan Malaysia

Mohd Asrul Aa, Nyi Nyi Naing

Procedia Economics and Finance. 2012;2:275-283

Overall Effects of Risk Factors Associated with Dental Caries Indices Using the Marginalized Zero-Inflated Negative Binomial Model

Enayatollah Bakhshi, Mohammad Ali Yazdanipour, Mehdi Rahgozar, Zahra Ghorbani, Marzieh Deghatipour

Caries Research. 2019;53(5):541-546

Estimation for zero-inflated beta-binomial regression model with missing response data

Rong Luo, Sudhir Paul

Statistics in Medicine. 2018;37(26):3789-3813

Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions

Arnab Kumar Maity, Erina Paul

Sankhya A. 2022;

The Zero-Inflated Negative Binomial Semiparametric Regression Model: Application to Number of Failing Grades Data

Elton G. Aráujo, Julio C. S. Vasconcelos, Denize P. dos Santos, Edwin M. M. Ortega, Dalton de Souza, João P. F. Zanetoni

Annals of Data Science. 2021;