Asymptotically optimal tests for parametric functions against ordered functional alternatives

Ming-Tien Tsai and Pranab Kumar Sen

Journal of Multivariate Analysis, 2005, vol. 95, issue 1, 37-49

Abstract: There are hypothesis testing problems for (nonlinear) functions of parameters against functional ordered alternatives for which a reduction to a conventional order-restricted hypothesis testing problem may not be feasible. While such problems can be handled in an asymptotic setup, among the available choices, it is shown that the union-intersection principle may have certain advantages over the likelihood principle or its ramifications. An application to a genomic model is also considered.

Keywords: Gini-Simpson; index; Genomic; sequence; Hamming; distance; Marginal; likelihood; function; Nearly; convex; and; prox-regular; Union-intersection; principle (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (1)

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