%0 Journal Article %A Bahrami Samani, Ehsan %A Khojasteh Bakht, Nafeseh %T Semiparametric Analysis of Regression Models for Zero-Inflated Power Series Responses with Missing Covariate %J Journal of Statistical Sciences %V 14 %N 1 %U http://jss.irstat.ir/article-1-588-en.html %R 10.29252/jss.14.1.97 %D 2020 %K Zero-Inflated, ‎ ‎Missing Data‎, ‎Score Function‎, ‎Missing at Random‎, ‎Semiparametric Analysis‎, ‎Selection Probability‎., %X In this paper‎, ‎the analysis of count response with many zeros‎, ‎named as zero-inflated data‎, ‎is considered‎. ‎Assumes that responses follow a zero-inflated power series distribution‎. ‎Because of there is missing of the type of random in the covariate‎, ‎some of the data application‎, ‎various methods for estimating of parameters by using the score function with and without missing data for the proposed regression model are presented‎. ‎On the other hand‎, ‎known or unknown selection probability in the missing covariates results in presenting a semi-parametric method for estimating of parameters in the zero-inflated power series regression model‎. ‎To illustrate the proposed method‎, ‎simulation studies and a real example are applied‎. ‎Finally‎, ‎the performance of the semi-parametric method is compared with maximum likelihood‎, ‎complete-case and inverse probability weighted method‎. %> http://jss.irstat.ir/article-1-588-en.pdf %P 95-112 %& 95 %! Semiparametric Analysis of Regression Models for Zero-Inflated Power Series Responses with Missing Covariate %9 Applied %L A-10-971-4 %+ ‎Department of Statistics‎, ‎Faculty of Mathematical Sciences‎, ‎Shahid Beheshti University‎, ‎Tehran‎, ‎Iran‎. %G eng %@ 1735-8183 %[ 2020