Tests optimaux sur les paramètres des lois de von Mises
Tests statistiques sur les distributions de Dirichlet
The behavior of locally most powerful tests
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 neighborhood...
The Behrens-Fisher Problem, an Old Solution Revisited.
The infinitesimal robustness of tests against dependence
The Necessity of Strongly Subadditive Capacities for Neyman-Pearson Minimax Tests.
The p and the Peas: An Intuitive Modeling Approach to Hypothesis Testing
We propose a novel approach to introducing hypothesis testing into the biology curriculum. Instead of telling students the hypothesis and what kind of data to collect followed by a rigid recipe of testing the hypothesis with a given test statistic, we ask students to develop a hypothesis and a mathematical model that describes the null hypothesis. Simulation of the model under the null hypothesis allows students to compare their experimental data...
Theorie ověřování statistických hypotes
Towards a notion of testability
The problem of testability has been undertaken many times in the context of linear hypotheses. Almost all these considerations restricted to some algebraical conditions without reaching the nature of the problem. Therefore, a general and commonly acceptable notion of testability is still wanted. Our notion is based on a simple and natural decision theoretic requirement and is characterized in terms of the families of distributions corresponding to the null and the alternative hypothesis. Its consequences...