Abstract
The analysis of statistical tests properties from the point of view of their applications, besides the power, also concerns dependence among their test functions. This problem is especially important when we verify our hypothesis by several tests. Then, in many cases it is difficult to make a decision about the verified hypothesis if the tests indications are different and their powers alike. On the other hand, there is no need of using a couple of tests of a given class if their test functions are correlated.
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References
Giorgi G.M., Cinci S., (1975), Sulle funzioni discriminatorie di alcuni testes univariate di normalita. Stodi di Economia 6, 100–133
Green J.R., Hegazy Y.A.S., (1976), Powerful modified–EDF goodness-of-fit tests. JASA 71, 204–209
Pearson E.S., D’Agostino R.B., Bowman K.O., (1974), Tests for departure from normality: Comparison of powers. Biometrica 64, 231–246
Shapiro S.S., Wilk R.S., Chen M.J, (1968), A comparative study of variance test for normality. JASA 63, 1343–1372
Stephens M.A. (1974), EDF statistics for goodness-of-fit and some comparisons. JASA 69, 737–739
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© 1994 Physica-Verlag Heidelberg
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Domański, C., Parys, D. (1994). Some Remarks on Dependence Among the Consistency Tests. In: Bachem, A., Derigs, U., Jünger, M., Schrader, R. (eds) Operations Research ’93. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-46955-8_31
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DOI: https://doi.org/10.1007/978-3-642-46955-8_31
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0794-3
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