  Although child malnutrition is improving over the world in the last couple of
decades, still now it is concerning issue among the developing countries
including Bangladesh. In general, malnutrition is a dichotomous response
variable fitted with logistic regression model. But in this study, counting
number of malnourished children in each household is defined as response
variable. UNICEF with co-operating Bangladesh Bureau of Statistics (BBS)
conducted Multiple Indicator Cluster Survey (MICS) covering 64000 households in
Bangladesh by using two stage stratified sampling technique, where 21000
households have children age 0-5 years. We use bivariate analysis figuring out
significant association between target and socio-demographic predictor
variables. Then Negative binomial regression model is used over poisson
regression model due to arising over-dispersion problem ($variance > mean$).
Zero inflated negative binomial model also is applied for the excess of zeros
in the target variable. Considering standard error and significant level of
individual factors NB model provides better result as compare to ZINB.
