Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures
Ernest Kwan, Michael Friendly (2004)
Journal de la société française de statistique
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Ernest Kwan, Michael Friendly (2004)
Journal de la société française de statistique
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Banach Center Publications
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Phipps, Mary C. (2003)
Journal of Applied Mathematics and Decision Sciences
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Rahman, Mezbahur, Pearson, Larry M., Heien, Herbert C. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Thas, O., Ottoy, J. P. (2002)
Journal of Applied Mathematics and Decision Sciences
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Peter Bubeliny (2011)
Acta Universitatis Carolinae. Mathematica et Physica
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Carolan, Anthony M., Rayner, J.C.W. (2001)
Journal of Applied Mathematics and Decision Sciences
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Best, D.J., Rayner, J.C.W., Thas, O. (2008)
Journal of Applied Mathematics and Decision Sciences
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Anita Dobek, Krzysztof Moliński, Ewa Skotarczak (2015)
Biometrical Letters
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There are several statistics for testing hypotheses concerning the independence of the distributions represented by two rows in contingency tables. The most famous are Rao′s score, the Wald and the likelihood ratio tests. A comparison of the power of these tests indicates the Wald test as the most powerful.
Stephen M. Stigler (2004)
Journal de la société française de statistique
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Andrzej Kornacki, Andrzej Bochniak, Agnieszka Kubik-Komar (2017)
Biometrical Letters
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This paper discusses the problem of determining the number of observations necessary to apply the nonparametric Mann-Whitney test. We describe the method given by Noether (1987) for determining a sample size which guarantees that the Mann-Whitney test at a given significance level α has a predetermined power 1-β. The presented theory is tested by calculating the empirical power in computer simulations. The paper also raises the issue of the method of rounding the determined sample size...