Generalized p-value: Difference between revisions

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{{DISPLAYTITLE:Generalized ''p''-value}}

{{Expert subject|statistics|date=March 2011}}

{{Primary sources|date=October 2010}}

In [[statistics]], a '''generalized ''p''-value''' is an extended version of the classical [[p-value|''p''-value]], which except in a limited number of applications, provides only approximate solutions.

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==References==

*Gamage J, Mathew T, and Weerahandi S. (2013). Generalized prediction intervals for BLUPs in mixed models, Journal of

Multivariate Analysis}, 220, 226-233.

*Hamada, M., and Weerahandi, S. (2000). Measurement System Assessment via Generalized Inference. Journal of Quality Technology, 32, 241-253.

*Li, X., Wang J., Liang H. (2011). Comparison of several means: a fiducial based approach. Computational Statistics and Data Analysis, 55, 1993-2002.

* Mathew, T. and Webb, D. W. (2005). Generalized p-values and confidence intervals for variance components:

Applications to Army test and evaluation, Technometrics, 47, 312-322.

*Wu, J. and Hamada, M. S. (2009) Experiments: Planning, Analysis, and Optimization. Wiley, Hoboken, New Jersey.

*Zhou, L., and Mathew, T. (1994). Some Tests for Variance Components Using Generalized p-Values, Technometrics, 36, 394-421.

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

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

==External links==

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