Multiple Test Procedures for Arbitrary Dependence Structures.
Multiple Testing of Pairs of One-Sided Hypotheses.
New estimates and tests of independence in semiparametric copula models
We introduce new estimates and tests of independence in copula models with unknown margins using -divergences and the duality technique. The asymptotic laws of the estimates and the test statistics are established both when the parameter is an interior or a boundary value of the parameter space. Simulation results show that the choice of -divergence has good properties in terms of efficiency-robustness.
New models in durability tool-testing: pseudo-Weibull distribution
Neymann-Pearson type test of hypotheses about random parameters
Note on the chi-square statistic of association in 2x2 contingency tables and the correction for continuity
Note on the truncated Rayleigh variate
On a statistical approach to Bertrand's problem.
On a Statistical measure of Discrimination
On bounds for the asymptotic power and on Pitman efficiencies of the Cramer-von Mises test
On dimensioning of samples in testing hypotheses
On equivalence and bioequivalence testing.
Equivalence testing is the natural approach to many statistical problems. First, its main application, bioequivalence testing, is reviewed. The basic concepts of bioequivalence testing (2×2 crossover designs, TOST, interval inclusion principle, etc.) and its problems (TOST biased character, the carryover problem, etc.) are considered. Next, equivalence testing is discussed more generally. Some applications and methods are reviewed and the relation of equivalence testing and distance-based inference...
On exchangeable random variables and the statistics of large graphs and hypergraphs.
On Hodges-Lehmann optimality of LR tests
On non-nested regression models
A generalization of a test for non-nested models in linear regression is derived for the case when there are several regression models with more regressors.
On optimality of the LR tests in the sense of exact slopes. II. Application to individual distributions
On optimality of the LR tests in the sense of exact slopes. I. General case
On Seifert's ANOVA-like test for variance components
On Special Case of Multiple Hypotheses Optimal Testing for Three Differently Distributed Random Variables
2000 Mathematics Subject Classification: 62P30.In this paper by using theory of large deviation techniques (LDT), the problem of hypotheses testing for three random variables having different distributions from three possible distributions is solved. Hypotheses identification for two objects having different distributions from two given probability distributions was examined by Ahlswewde and Haroutunian. We noticed Sanov's theorem and its applications in hypotheses testing.
On Testing the Correlation Coefficient of a Bivariate Normal Distribution.