Hotelling test for highly correlated data
Peter Bubeliny (2011)
Acta Universitatis Carolinae. Mathematica et Physica
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Displaying similar documents to “One sample tests for the location of modes of nonnormal data.”
Hotelling test for highly correlated data
Tests of fit for the logarithmic distribution.
Best, D.J., Rayner, J.C.W., Thas, O. (2008)
Journal of Applied Mathematics and Decision Sciences
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A modified Anderson-Darling test for uniformity.
Rahman, Mezbahur, Pearson, Larry M., Heien, Herbert C. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
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Goodness-of-fit tests based on sample space partitions: A unifying overview.
Thas, O., Ottoy, J. P. (2002)
Journal of Applied Mathematics and Decision Sciences
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Behaviour of higher-order approximations of the tests in the single parameter Cox proportional hazards model
Aneta Andrášiková, Eva Fišerová (2020)
Applications of Mathematics
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Survival analysis is applied in a wide range of sectors (medicine, economy, etc.), and its main idea is based on evaluating the time until the occurrence of an event of interest. The effect of some particular covariates on survival time is usually described by the Cox proportional hazards model and the statistical significance of the impact of covariates is verified by the likelihood ratio test, the Wald test, or the score test. In addition to standard tests, appropriate higher-order...
Detecting non linearity a review
Dominique Guegan (1990)
Statistique et analyse des données
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The behavior of locally most powerful tests
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...