On multiple test procedures
Sture Holm (1980)
Banach Center Publications
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Displaying similar documents to “Interpretation of pattern classification results, obtained from a test set”
On multiple test procedures
A note on confidence interval for the power of the one sample test.
Wong, A. (2010)
Journal of Probability and Statistics
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Monotonicity properties of statistical procedures for an increasing number of observations or a decreasing number of parameters, especially Anova procedures
R. Pincus (1980)
Banach Center Publications
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An empirical investigation of Cressie and Read tests for the hypothesis of independence in three-way contingency tables
María Del Carmen Pardo (1996)
Kybernetika
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Testing for normality
K. Sarkadi (1980)
Banach Center Publications
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Some aspects of the conditional inference when the sample size is random.
A.K.P.C. Swain (1983)
Trabajos de Estadística e Investigación Operativa
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The conditional test is compared with other relevant test procedures for testing parameters of Normal and Exponential populations. It is seen that under certain conditions the conditional test is more powerful than the relevant unconditional tests. An example is provided where the conditional test given the ancillary is uniformaly more powerful than the obvious unconditional test.