A class of multiple sample tests based on empirical coverages

DOI10.1007/BF00053963zbMath0698.62048OpenAlexW2130080851MaRDI QIDQ912533

Yi-Ching Yao, Paul W. jun. Mielke

Publication date: 1988

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00053963

zbMATH Keywords

asymptotic normalitystationary processgoodness-of-fit teststrong mixing conditionspacingempirical covaragesmultiple sample testsmultisample case

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20)

Related Items (1)

An empirical coverage test for the \(g\)-sample problem

Cites Work

• Weak convergence of empirical distribution functions of random variables subject to perturbations and scale factors
• Two conditional limit theorems with applications
• Selected Percentage Points of Greenwood's Statistics
• Further Percentage Points of Greenwood's Statistic
• Further Percentage Points for Greenwood's Statistic
• Asymptotic spacings theory with applications to the two-sample problem
• A Random Variable Related to the Spacing of Sample Values
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