Multivariate linear rank statistics for profile analysis

Vernon M. Chinchilli and Pranab Kumar Sen

Journal of Multivariate Analysis, 1982, vol. 12, issue 2, 219-229

Abstract: For some general multivariate linear models, linear rank statistics are used in conjunction with Roy's Union-Intersection Principle to develop some tests for inference on the parameter (vector) when they are subject to certain linear constraints. More powerful tests are designed by incorporating the a priori information on these constraints. Profile analysis is an important application of this type of hypothesis testing problem; it consists of a set of hypothesis testing problem for the p responses q-sample model, where it is a priori assumed that the response-sample interactions are null.

Keywords: General; multivariate; linear; model; linear; euality; restriction; linear; rank; statistics; profile; analysis; Union-Intersection; principle (search for similar items in EconPapers)
Date: 1982
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