Evaluating the Performance of CART-BasedMissing Data Methods Under a Missing Not at Random Mechanism

被引：1

作者：

Hayes, Timothy ^{[1
]}

McArdle, John J. ^{[1
]}

机构：

[1] Univ Southern Calif, Los Angeles, CA 90089 USA

来源：

MULTIVARIATE BEHAVIORAL RESEARCH | 2017年 / 52卷 / 01期

关键词：

IMPUTATION;

D O I：

10.1080/00273171.2016.1264287

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

引用

收藏

页码：113 / 114

页数：2

相关论文

共 22 条

[21] Should we impute or should we weight? Examining the performance of two CART-based techniques for addressing missing data in small sample research with nonnormal variables
Hayes, Timothy
McArdle, John J.
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2017, 115 : 35 - 52
[22] MODIFIED EXPONENTIAL DUAL-TO-RATIO TYPE ESTIMATOR OF FINITE POPULATION MEAN WITH IMPUTATION OF MISSING DATA IN CASE OF TWO AUXILIARY VARIABLES UNDER SIMPLE RANDOM SAMPLING
Kumari, Tarun
Gohain, Deepjan
Singh, B. K.
ADVANCES AND APPLICATIONS IN STATISTICS, 2024, 91 (11) : 1445 - 1464