GBZINB

This study models overdispersed zero-inflated bivariate coefficient data based on the *bivariate zero-inflated negative binomial (BZINB) regression model first proposed by Faroughi & Ismail (2017). Score tests for zero inflation, overdispersion, independence, and dependence parameters are derived, and the efficiency of the tests is verified through Monte Carlo studies.

Publications

• Jang, D., & Shin, J., Jung, B.* (2025). Score tests for bivariate zero-inflated negative binomial regression model. Journal of the Korean Statistical Society, 1-26.

• 신지은, 장동민, & 정병철.* (2023). 제로팽창 이변량 음이항 회귀모형에서 산포모수에 대한 가설검정. 한국자료분석학회 학술대회자료집, 2024(1), 101-101. (Presented by J. E. Shin)

* Corresponding author

Reference

Faroughi, P., & Ismail, N.* (2017). Bivariate zero-inflated negative binomial regression model with applications. Journal of Statistical Computation and Simulation, 87(3), 457-477.