Kibria-Lukman estimator for the zero inflated negative binomial regression model: theory, simulation and applications

• Published in: Communications in statistics. Simulation and computation Vol. 54; no. 5; pp. 1464 - 1480
• Main Authors: Akram, Muhammad Nauman, Amin, Muhammad, Afzal, Nimra, Kibria, B. M. Golam
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 04.05.2025; Taylor & Francis Ltd
• Subjects: Biased estimator; Kibria-Lukman estimator; Liu estimator; Mathematical analysis; Maximum likelihood estimators; Monte Carlo simulation; Multicollinearity; Parameter estimation; Regression models; Ridge estimator; Zero inflated negative binomial model

The zero inflated negative binomial model is an appropriate choice to model count response variables with excessive zeros and over-dispersion simultaneously. This article addresses the parameter estimation for the zero-inflated negative binomial model when there are many predictors and the problems...