Further applications of the T*-test to time-series analysis
E. Pleszczyńska (1971)
Applicationes Mathematicae
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E. Pleszczyńska (1971)
Applicationes Mathematicae
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H. J. Borchers (1973)
Recherche Coopérative sur Programme n°25
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Field, Bruce W. (1999)
Journal for Geometry and Graphics
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Kida, Masanari (2004)
Experimental Mathematics
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McDougall, Michelle K., Rayner, Glen D. (2004)
Journal of Applied Mathematics and Decision Sciences
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Marek Omelka (2005)
Kybernetika
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The locally most powerful (LMP) tests of the hypothesis against one-sided as well as two-sided alternatives are compared with several competitive tests, as the likelihood ratio tests, the Wald-type tests and the Rao score tests, for several distribution shapes and for location, shape and vector parameters. A simulation study confirms the importance of the condition of local unbiasedness of the test, and shows that the LMP test can sometimes dominate the other tests only in a very restricted...
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.
Zofia Hanusz, Joanna Tarasińska (2015)
Biometrical Letters
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Two very well-known tests for normality, the Kolmogorov-Smirnov and the Shapiro- Wilk tests, are considered. Both of them may be normalized using Johnson’s (1949) SB distribution. In this paper, functions for normalizing constants, dependent on the sample size, are given. These functions eliminate the need to use non-standard statistical tables with normalizing constants, and make it easy to obtain p-values for testing normality.
Khadir, Omar, Szalay, László (2009)
Acta Universitatis Sapientiae. Mathematica
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Tsutsumi, Emiko, Shiina, Kanakao, Suzaki, Ayako, Yamanouchi, Kyoko, Saito, Takaaki, Suzuki, Kenjiro (1999)
Journal for Geometry and Graphics
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Rayner, Glen D., Rayner, John C. (2001)
Journal of Applied Mathematics and Decision Sciences
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