Model and method for analysis of categorical data with relations [Abstract of thesis]
Monotonicity of the Power Function and Unbiasedness of Some Likelihood Ratio Tests.
Monotonicity properties of statistical procedures for an increasing number of observations or a decreasing number of parameters, especially Anova procedures
M-Tests in Multivariate Models.
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.
Nonsensitiveness regions for threshold ellipsoids
The problem is to determine nonsensitiveness regions for threshold ellipsoids within a regular mixed linear model.
Normalité asymptotique d'une classe de statistiques de rangs sérielles multivariées
Normalization of the Kolmogorov–Smirnov and Shapiro–Wilk tests of normality
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.
On approximations of transformed chi-squared distributions in statistical applications.
On -optimality of the LR tests
On Hodges-Lehmann optimality of LR tests
On interactions in contingency tables
On Seifert's ANOVA-like test for variance components
On simultaneous inference in multidimensional contingency tables
On testing hypotheses approximable by cones
On Testing the Dimensionality of Regression Coefficients.
On the admissibility of tests for discrete exponential families
Optimization of the size of nonsensitiveness regions
The problem is to determine the optimum size of nonsensitiveness regions for the level of statistical tests. This is closely connected with the problem of the distribution of quadratic forms.
Plans d'expérience adaptés à un champ d'hypothèses a priori. Construction. Précision globale
Recent Contributions to Censored Regression Models.