On testing the mean equivalence of treatments from correlated normal populations

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Title:	On testing the mean equivalence of treatments from correlated normal populations
Authors:	Chen, Hubert J.;Wu, Shu-Fei;Shao, Pei-Chi;Wang, Wen-Gine
Keywords:	Least favorable configuration (LFC);Level and power;Studentized range test
Date:	2014-07-02
Issue Date:	2018-11-01 12:11:32 (UTC+8)
Abstract:	Let there be k equally correlated treatment populations under consideration, a Studentized range test is proposed to test the hypothesis of average mean equivalence against the alternative hypothesis of inequivalence. The maximum level and minimum power at some least favorable configurations of means are used to calculate the critical value and the required sample size simultaneously when testing a null against an alternative hypothesis. The range test is applied to a real world problem to find out if the stress levels among children at four time periods due to a newly built nearby airport are equivalent.
Relation:	Communications in Statistics: Simulation and Computation 45(6), p.2104-2121
DOI:	10.1080/03610918.2014.889159
Appears in Collections:	[Graduate Institute & Department of Statistics] Journal Article

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