\(K\)-sample tests based on the likelihood ratio

DOI10.1016/j.csda.2006.08.029zbMath1162.62354OpenAlexW1975698992MaRDI QIDQ1020130

Yuehua Wu, Jin Zhang

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.08.029

zbMATH Keywords

likelihood ratiopowerKolmogorov-Smirnov testAnderson-Darling testCramér-von Mises test\(k\)-sample test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (17)

Searching for a common pooling pattern among several samples ⋮ Bayesian nonparametric \(k\)-sample tests for censored and uncensored data ⋮ Two bootstrap strategies for a \(k\)-problem up to location-scale with dependent samples ⋮ A two-step test for the two-sample problem of processes of Ornstein-Uhlenbeck type ⋮ Nonparametric homogeneity test based on ridit reliability functional ⋮ Cramér-von Mises and characteristic function tests for the two and \(k\)-sample problems with dependent data ⋮ Comparing \(k\)-independent and right censored samples based on the likelihood ratio ⋮ A permutation test for the two-sample right-censored model ⋮ \(k\)-sample test based on the common area of kernel density estimators ⋮ Non-parametric \(k\)-sample tests: density functions vs distribution functions ⋮ Studying the bandwidth in \(k\)-sample smooth tests ⋮ Unnamed Item ⋮ Empirical likelihood test for diagonal symmetry ⋮ A test for the two-sample problem based on empirical characteristic functions ⋮ Combination of distribution-free tests for the general two-sample problem with application to the social sciences ⋮ Non-parametric testing of non-inferiority with censored data ⋮ Extensions of empirical likelihood and chi-squared-based tests for ordered alternatives

Cites Work

• Unnamed Item
• Empirical likelihood based hypothesis testing
• Powerful Goodness-of-fit Tests Based on the Likelihood Ratio
• K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
• Several $k$-Sample Kolmogorov-Smirnov Tests
• Tables of Critical Values for a k-Sample Kolmogorovb-Smirnov Test Statistic
• Use of Ranks in One-Criterion Variance Analysis

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