The study investigated the robustness of Quantile regression count data over negative binomial regression, when there is overdispersion and presence outlier. made use a complete with 30% missing which was imputed using Multiple Imputation by Chain Equation (MICE) in R also an outlier injected into during imputation values. Regression Negative Binomial estimates were compared their model fits co...

background: malaria is a major cause of morbidity and mortality in nepal. the magnitude of malaria across the country is alarming and varies with location. therefore, the present study aimed to model malaria incidence rates during 1998 to 2009 in nepal. methods: data for the study were obtained from health management information system (hmis), ministry of public health. a negative binomial mode...

‎Zero-inflated negative binomial model is an appropriate choice to count response variables with excessive zeros and over-dispersion simultaneously. ‎This paper addressed parameter estimation in the zero-inflated when there are many parameters, ‎so that some of them have not influence on variable. ‎We proposed based linear shrinkage, ‎pretest, ‎shrinkage pretest, ‎Stein-type, ‎and positive Stei...

background: the number of failed courses and semesters in students are indicatorsof their performance. these amounts have zero inflated (zi) distributions. using zi poisson and negative binomial distributions we can model these count data to find the associated factors and estimate the parameters. this study aims at to investigate the important factors related to the educational performance of ...