A nonparametric test of missing completely at random for incomplete multivariate data

DOI10.1007/s11336-014-9410-4zbMath1323.62116OpenAlexW2068630645WikidataQ30839929 ScholiaQ30839929MaRDI QIDQ888025

Jun Li, Yao Yu

Publication date: 4 November 2015

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-014-9410-4

zbMATH Keywords

missing datamissing completely at randomnonparametric test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to psychology (62P15)

Related Items (max. 100)

Effect of nonnormality on tests for a mean vector with missing data under an elliptically contoured pattern-mixture model ⋮ Score Test for Missing at Random or Not under Logistic Missingness Models ⋮ Bartlett correction to the likelihood ratio test for MCAR with two‐step monotone sample ⋮ Optimal nonparametric testing of missing completely at random and its connections to compatibility ⋮ A unified empirical likelihood approach for testing MCAR and subsequent estimation ⋮ Imputation Scores ⋮ Missing data mechanisms and homogeneity of means and variances-covariances

Uses Software

• bootstrap
• bootlib

Cites Work

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• Tests of homogeneity of means and covariance matrices for multivariate incomplete data
• Tests of homoscedasticity, normality, and missing completely at random for incomplete multivariate data
• A new test for multivariate normality
• DISCO analysis: A nonparametric extension of analysis of variance
• Inference and missing data
• A test of missing completely at random for generalised estimating equations with missing data
• Testing ignorable missingness in estimating equation approaches for longitudinal data

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