RecordNumber
3937
Author
Almasi, Isaac
Crop_Body
Isaac Almasi, Mohsen Salehi, and Mohammad Moradi
Title of Article
ANew Algorithm to Impute the MissingValues in the Multivariate Case
Title Of Journal
خبرنامه انجمن آمار ايران
PublishInfo
تهران :انجمن آمار ايران
Publication Year
2020
Volum
19
Issue Number
2
Page
133-143
Keywords
Order Statistic , Imputation , Projection Theorem , Censored Data , Linear Regression Model
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.