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Precedence tests and Lehmann alternatives
Authors:Paul van der Laan  Subha Chakraborti
Affiliation:(1) Department of Mathematics and Computing Science, Eindhoven University of Technology, P. O. Box 513, 5600 MB Eindhoven, The Netherlands, NL;(2) Department of Management Science and Statistics, University of Alabama, P. O. Box 870226, Tuscaloosa, AL 35487-0266, U.S.A., US
Abstract:G = F k (k > 1); G = 1 − (1−F) k (k < 1); G = F k (k < 1); and G = 1 − (1−F) k (k > 1), where F and G are two continuous cumulative distribution functions. If an optimal precedence test (one with the maximal power) is determined for one of these four classes, the optimal tests for the other classes of alternatives can be derived. Application of this is given using the results of Lin and Sukhatme (1992) who derived the best precedence test for testing the null hypothesis that the lifetimes of two types of items on test have the same distibution. The test has maximum power for fixed κ in the class of alternatives G = 1 − (1−F) k , with k < 1. Best precedence tests for the other three classes of Lehmann-type alternatives are derived using their results. Finally, a comparison of precedence tests with Wilcoxon's two-sample test is presented. Received: February 22, 1999; revised version: June 7, 2000
Keywords:: Best precedence tests   nonparametric   power   proportional hazards alternatives   semi-parametric   Wilcoxon two-sample test.
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