Asymptotic power comparison of T2-type test and likelihood ratio test for a mean vector based on two-step monotone missing data

DOI10.1080/03610926.2019.1597122OpenAlexW2972344885MaRDI QIDQ5077497

Nobumichi Shutoh, Masashi Hyodo

Publication date: 18 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1597122

zbMATH Keywords

asymptotic approximationspower analysismissing dataset

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15) Statistics (62-XX) Asymptotic properties of parametric tests (62F05)

Related Items (2)

Effect of nonnormality on tests for a mean vector with missing data under an elliptically contoured pattern-mixture model ⋮ Testing equality of two mean vectors with monotone incomplete data

Cites Work

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• An asymptotic approximation for EPMC in linear discriminant analysis based on monotone missing data
• Finite-sample inference with monotone incomplete multivariate normal data. I.
• Maximum-likelihood estimation of the parameters of a multivariate normal distribution
• On the asymptotic distribution of \(T^2\)-type statistic with two-step monotone missing data
• Statistical inference for location and scale of elliptically contoured models with monotone missing data
• On optimal and data-based histograms
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Some Basic Properties of the Mle's for a Multivariate Normal Distribution with Monotone Missing Data
• Confidence estimation of a normal mean vector with incomplete data
• Robustness of the likelihood ratio test for detection and estimation of a mean change point in a sequence of elliptically contoured observations
• Multivariate Linear Regression Model with Elliptically Contoured Distributed Errors and Monotone Missing Dependent Variables
• Unbiasedness of Some Test Criteria for the Equality of One or Two Covariance Matrices

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