Testing Equality of Mean Vectors in Two Sample Problem with Missing Data

DOI10.1080/03610910903480842zbMath1192.62155OpenAlexW1998268126MaRDI QIDQ3577174

Wataru Morinaga, Shunichi Yamada, Makiko Kusumi, Nobumichi Shutoh, Takashi Seo

Publication date: 5 August 2010

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910903480842

zbMATH Keywords

tableslikelihood ratio testMonte Carlo simulationsimultaneous confidence intervalsBehrens-Fisher problemHotelling's \(T^2\) test

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Monte Carlo methods (65C05)

Related Items (3)

Testing equality of two mean vectors with monotone incomplete data ⋮ Bias correction forT²type statistic with two-step monotone missing data ⋮ An exact test for equality of two normal mean vectors with monotone missing data

Cites Work

• Maximum-likelihood estimation of the parameters of a multivariate normal distribution
• Note on a solution of the generalized Behrens-Fisher problem
• Testing Equality of Means and Simultaneous Confidence Intervals in Repeated Measures with Missing Data
• Multivariate data with missing observations
• The Generalization of Student's Ratio
• TESTING EQUALITY OF TWO MEAN VECTORS AND SIMULTANEOUS CONFIDENCE INTERVALS IN REPEATED MEASURES WITH MISSING DATA
• Three Approximate Solutions to the Multivariate Behrens–Fisher Problem
• On Solutions of the Behrens-Fisher Problem, Based on the $t$-Distribution

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