On the Reliability of the Chi-Square Test.
A.J. Viollaz (1986)
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Displaying similar documents to “Equivalence Between Tie-Corrected Spearman Test and a Chi-Square Test in a Fourfold Contingency Table.”
On the Reliability of the Chi-Square Test.
Multiple Test Procedures for Arbitrary Dependence Structures.
G. Hommel (1986)
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Tests of Significance for the Mean of a Finite Lot.
Rainer Göb (1996)
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On the Algebra of Test Functions
H. J. Borchers (1973)
Recherche Coopérative sur Programme n°25
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Further applications of the T*-test to time-series analysis
E. Pleszczyńska (1971)
Applicationes Mathematicae
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Robustness to non-normality of various tests for the one-sample location problem.
McDougall, Michelle K., Rayner, Glen D. (2004)
Journal of Applied Mathematics and Decision Sciences
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Conditions for Invariance of the Multivariate Versions of Grubb's Test and Bartlett's Test. Under a General Dependency Structure.
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Testing Homogeneity of Ordered Variances.
Govind S. Mudholkar, Michael P. McDermott, Johanne Aumont (1993)
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Asymptotics for Generalized Chi-Square Goodness-Of-Fit Tests - E C. Drost.
D.S. Moore (1990)
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The Large-Sample Power of the x Test fox Multidimensional Contingency Tables.
M. Haber (1984)
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On the Confidence Region for the One-Sample x2-Test.
C.C. Brown (1973)
Metrika
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Use of a Median Test for a Generalized Behrens-Fischer Problem.
R. Schlittgen (1979)
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Power comparison of Rao′s score test, the Wald test and the likelihood ratio test in (2xc) contingency tables
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.
Multiple Testing of Pairs of One-Sided Hypotheses.
P. Bauer, P. Hackl, E. Sonnemann, G. Hommel (1986)
Metrika
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