Title of article :
ANew Algorithm to Impute the MissingValues in the Multivariate Case
Author/Authors :
Almasi, Isaac Department of Statistics - Faculty of Science - Razi University , Salehi, Mohsen Department of Statistics - Faculty of Science - University of Qom , Moradi, Mohammad Department of Statistics - Faculty of Science - Razi University
Abstract :
There are several methods to make inferences about the parameters of the sampling distribution when we encounter the missing values and the censored data. In this paper, through the order statistics and the projection theorem, a novel algorithm is proposed to impute the missing values in the multivariate case. Then, the performance of this method is investigated through the simulation studies. In an attempt to validate the proposed method and compare it with some other methods a real data is used.
Keywords :
Order statistic , Imputation , Projection Theorem , Censored data , Linear Regression model
Journal title :
Journal of the Iranian Statistical Society (JIRSS)
