Non-degenerate \(U\)-statistics for data missing completely at random with application to testing independence

DOI10.1002/sta4.634MaRDI QIDQ6548894

Bojana Milošević, Danijel Aleksić, Marija Cuparić

Publication date: 3 June 2024

Published in: Stat (Search for Journal in Brave)

zbMATH Keywords

Kendall coefficientMCAR datamedian imputation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• What is meant by ``missing at random?
• On the asymptotic normality of statistics with estimated parameters
• On the effect of substituting parameter estimators in limiting \(\chi ^ 2U\) and V statistics
• Dissecting multiple imputation from a multi-phase inference perspective: what happens when God’s, imputer’s and analyst’s models are uncongenial?
• Asymptotic distribution of certain degenerate V- and U-statistics with estimated parameters
• Flexible Imputation of Missing Data, Second Edition
• A Class of Statistics with Asymptotically Normal Distribution
• IPCW approach for testing independence

Related Items (2)

Limit theorems for a class of processes generalizing the U -empirical process ⋮ A novel test of missing completely at random: U -statistics-based approach

This page was built for publication: Non-degenerate \(U\)-statistics for data missing completely at random with application to testing independence