A novel test of missing completely at random: U -statistics-based approach

DOI10.1080/02331888.2024.2386361MaRDI QIDQ6622125

Danijel Aleksić

Publication date: 22 October 2024

Published in: Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Measures of association (correlation, canonical correlation, etc.) (62H20)

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 nonparametric test of missing completely at random for incomplete multivariate data
• Testing equality of covariance matrices when data are incomplete
• Nonparametric Imputation by Data Depth
• Comparing diagnostic tests with missing data
• A Class of Statistics with Asymptotically Normal Distribution
• Optimal nonparametric testing of missing completely at random and its connections to compatibility
• Non-degenerate \(U\)-statistics for data missing completely at random with application to testing independence

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