Generalized p-value: Difference between revisions

Revision as of 06:26, 8 December 2009

Revision as of 06:28, 8 December 2009

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Generalized p-values method is an exact statistical method based on exact probability statements rather than asymptotic statistical methods to tackle difficult statistical problems where conventional statistical methods do not provide exact solutions. Moreover, the generalized p-value approach is an extension of the classical p-value approach.

In order to over come the shortcomings of the classical p-values, Tsui and Weerahandi (1989) extended the definition of the classical p-values so that one can obtain the exact solutions for problems such as the [[Behrens-–Fisher problem]].

Later, Weerahandi (1993) showed how one can utilize the generalized p-values to construct generalized [[confidence interval]]s.

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Many of the generalize p-values procedures are incorporated into software packages that are freely available in the Internet (eg. XPro).

==References==