Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness*

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-02-14 DOI:10.1080/10618600.2024.2319154

Xiaojun Mao, Hengfang Wang, Zhonglei Wang, Shu Yang

引用次数: 0

Abstract

Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe matrix, obtained by...

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异质缺失情况下复杂调查抽样中的混合矩阵完成 *

现代调查样本量大，混合型问卷越来越多，这就需要稳健且可扩展的分析方法。在这项工作中，我们考虑恢复混合数据帧矩阵，该矩阵由...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.