具有两步单调缺失数据的多变量正态性检验：以处理缺失值的不同方法为重点的重要综述

IF 1.1 4区数学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Computation and Simulation Pub Date : 2024-09-11 DOI:10.1080/00949655.2024.2399190

A. Tsatsi, A. Batsidis, P. Economou

引用次数: 0

摘要

两步单调缺失数据是缺失数据的一种特殊情况，它不仅在应用中经常出现，而且在假设条件下也会出现，因此引起了研究人员的关注。

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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Multivariate normality tests with two-step monotone missing data: a critical review with emphasis on the different methods of handling missing values

Two-step monotone missing data is a special case of missing data that attracted the attention of researchers since it not only appears frequently in applications but also since under the hypothesis...

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来源期刊

Journal of Statistical Computation and Simulation 数学-计算机：跨学科应用

CiteScore

2.30

自引率

8.30%

发文量

156

审稿时长

4-8 weeks

期刊介绍： Journal of Statistical Computation and Simulation ( JSCS ) publishes significant and original work in areas of statistics which are related to or dependent upon the computer. Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems. JSCS does not consider applications of statistics to other fields, except as illustrations of the use of the original statistics presented. Accepted papers should ideally appeal to a wide audience of statisticians and provoke real applications of theoretical constructions.