Generalized p-value: Difference between revisions

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Revision as of 09:55, 10 December 2009

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In [[statistics]], '''generalized p-values''' are used to give exact solutions of problems for which the classical method of [[p-value]]s gives only approximate solutions, the approximations being good only when the [[sample size]]s are big enough.

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==References==

[1] Tsui, K. and Weerahandi, S. (1989): Generalized p-values in significance testing of hypotheses in the presence of nuisance parameters. Journal of the American Statistical Association, 84, 602-607 (1989). [[http://www.jstor.org/stable/2289949]]

[2] Weerahandi, S. (1993): Generalized confidence intervals. Journal of the American Statistical Association, 88, 899-905 (1993). [[http://www.jstor.org/stable/2290779]]

[3] [http://www.springer.com/statistics/statistical+theory+and+methods/book/978-0-387-40621-3 Weerahandi, S. 1995. Exact Statistical Method for Data Analysis. Springer-Verlag, New York. ]

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[5] [http://www.x-techniques.com/ XPro, Windows software package for exact parametric statistics]

[[Category:Hypothesis testing]]