Akinpelu K.P., Yusuf O.B., Akpa O.M., Gbolahan A.O. (2016): Zero Inflated Regression Models with Application to Malaria Surveillance Data. International Journal of Statistics and Application 6(4): 223-234.
David I., Adubisi O., Farouk B., Adehi M. (2020): Assessing MSMEs Growth Through ROSCA Involvement Using Paired t-Test and One Sample Proportion Test. Journal of Social and Economic Statistics, 9(2): 30-42, https://doi.org/10.2478/jses-2020-0011
Xu T., Demmer R.T., Li G. (2021): Zero-inflated Poisson factor model with application to microbiome read counts. Biometrics, 77(1): 91-101, https://doi.org/10.1111/biom.13272
Workie M.S., Azene A.G. (2021): Bayesian zero-inflated regression model with application to under-five child mortality. Journal of Big Data 8(4), https://doi.org/10.1186/s40537-020-00389-4
Ridout M., Demétrio C.G., Hinde J. (1998): Models for count data with many zeros. Proceedings of the XIXth International Biometric Conference 19(1): 179–192.
Zafakali N.S., Wan M.A., Ahmad W. (2013): Modelling and Handling Overdispersion Health Science data with Zero-inflated Poisson Model. Journal of Modern Applied Statistical Methods, 12(1): 255-260.