Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures
Ernest Kwan, Michael Friendly (2004)
Journal de la société française de statistique
Similarity:
Displaying similar documents to “Yates and contingency tables: 75 years later.”
Discussion and comments : strong versus weak significance tests and the role of meta-analytic procedures
On multiple test procedures
Sture Holm (1980)
Banach Center Publications
Similarity:
Inequalities between hypergeometric tails.
Phipps, Mary C. (2003)
Journal of Applied Mathematics and Decision Sciences
Similarity:
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
Similarity:
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
Similarity:
Hotelling test for highly correlated data
Peter Bubeliny (2011)
Acta Universitatis Carolinae. Mathematica et Physica
Similarity:
One sample tests for the location of modes of nonnormal data.
Carolan, Anthony M., Rayner, J.C.W. (2001)
Journal of Applied Mathematics and Decision Sciences
Similarity:
Behaviour of higher-order approximations of the tests in the single parameter Cox proportional hazards model
Aneta Andrášiková, Eva Fišerová (2020)
Applications of Mathematics
Similarity:
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...
Tests of fit for the logarithmic distribution.
Best, D.J., Rayner, J.C.W., Thas, O. (2008)
Journal of Applied Mathematics and Decision Sciences
Similarity:
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
Similarity:
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.