Volume 19, Issue 2 (12-2020)                   JIRSS 2020, 19(2): 133-143 | Back to browse issues page

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Almasi I, Salehi M, Moradi M. A New Algorithm to Impute the Missing Values in the Multivariate Case. JIRSS. 2020; 19 (2) :133-143
URL: http://jirss.irstat.ir/article-1-596-en.html
Department of Statistics, Faculty of Science, Razi University, Kermanshah, Iran. , i.almasi@razi.ac.ir
Abstract:   (1334 Views)
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.
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Type of Study: Original Paper | Subject: 62Jxx: Linear inference, regression
Received: 2019/06/7 | Accepted: 2020/10/30 | Published: 2020/12/11

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