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注意：仅列出部分参考文献，下载原文获取全部文献信息。MCAR is not necessary for the complete cases to constitute a simple random subsample of the target sample
John C. Galati et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2016)
Expectation-robust algorithm and estimating equations for means and dispersion matrix with missing data
Ke-Hai Yuan et al.
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS (2016)
MissMech: AnRPackage for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)
Mortaza Jamshidian et al.
Journal of Statistical Software (2015)
A Nonparametric Test of Missing Completely at Random for Incomplete Multivariate Data
Jun Li et al.
PSYCHOMETRIKA (2015)
Skewness and Kurtosis in Real Data Samples
Maria J. Blanca et al.
METHODOLOGY-EUROPEAN JOURNAL OF RESEARCH METHODS FOR THE BEHAVIORAL AND SOCIAL SCIENCES (2013)
Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model
Yutaka Kano et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2011)
Tests of Homoscedasticity, Normality, and Missing Completely at Random for Incomplete Multivariate Data
Mortaza Jamshidian et al.
PSYCHOMETRIKA (2010)
Normal distribution based pseudo ML for missing data: With applications to mean and covariance structure analysis
Ke-Hai Yuan
JOURNAL OF MULTIVARIATE ANALYSIS (2009)
Testing ignorable missingness in estimating equation approaches for longitudinal data
A Qu et al.
BIOMETRIKA (2002)
Tests of homogeneity of means and covariance matrices for multivariate incomplete data
KH Kim et al.
PSYCHOMETRIKA (2002)
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