Robust adaptive Kibria-Lukman estimator for COM-Poisson regression
The COM-Poisson regression model is a flexible model for count data that can be overdispersed and underdispersed. However, multicollinearity and contaminated observations can significantly increase estimation variability and reduce the reliability of conventional estimators. This study proposes a Robust Adaptive Kibria...