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A certain locally most powerful test for one-way random effects model: full distribution and power considerations
Authors:Ann Clemmens  Z. Govindarajulu
Affiliation:Department of Statistics , University of Kentucky , Lexington, KY, 40506-0027, U.S.A.
Abstract:We investigate the properties of the locally most powerful nonparametric criterion against logistic alternatives developed by Govindarajulu (1975) for testing one-way random effects modcls. We deduce the appropriate computational forms for the test criterion T and tabulate the critical values of T for α = .01, .05 and 0.10, and various sample sizes. Certain features of the computational methods are discussed. In the tables we retain only those sample sizes beyond which the asymptotic theory is meaningful. We also study the power comparison of the test for two populations with the classical F-test under a range of normal alternatives.
Keywords:random effects model  rank test  locally most powerful
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