Semi-parametric homogeneity test and sample size calculation for a two-sample problem under an inequality constraint

DOI10.1016/J.JSPI.2020.12.004zbMath1465.62105OpenAlexW3125705837MaRDI QIDQ830739

Guanfu Liu, Yukun Liu, Yan Fan, Yang Liu

Publication date: 7 May 2021

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2020.12.004

zbMATH Keywords

empirical likelihoodEM-testtwo-sample problemsample size calculationfinite mixture distributions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Cites Work

• Testing homogeneity in a semiparametric two-sample problem
• Empirical likelihood ratio confidence regions
• Hypothesis test for normal mixture models: the EM approach
• Asymptotics in statistics: some basic concepts
• Case-control studies with contaminated controls
• A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
• Hypothesis Testing in a Mixture Case-Control Model
• Multivariate logistic compounds
• Asymptotic Statistics
• Using differential variability to increase the power of the homogeneity test in a two-sample problem
• Risk Assessment for Quantitative Responses Using a Mixture Model
• A Class of Pseudolikelihood Ratio Tests for Homogeneity in Exponential Tilt Mixture Models
• Sample‐size calculation for tests of homogeneity

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