多元情况下缺失值的一种新算法

IF 0.1 Q4 STATISTICS & PROBABILITY

JIRSS-Journal of the Iranian Statistical Society Pub Date : 2020-12-01 DOI:10.52547/JIRSS.19.2.133

I. Almasi, Mohsen Salehi, M. Moradi

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引用次数: 0

摘要

当我们遇到缺失值和截尾数据时，有几种方法可以推断采样分布的参数。本文通过阶统计量和投影定理，提出了一种新的算法来估算多元情况下的缺失值。然后，通过仿真研究对该方法的性能进行了研究。为了验证所提出的方法，并将其与其他一些方法进行比较，使用了实际数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Algorithm to Impute the Missing Values in the Multivariate Case

. 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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来源期刊

JIRSS-Journal of the Iranian Statistical Society STATISTICS & PROBABILITY-

CiteScore

1.50

自引率

0.00%

发文量