Tests robustes pour des variables indépendantes et des chaînes de Markov
Toward the best constant factor for the Rademacher-Gaussian tail comparison
It is proved that the best constant factor in the Rademacher-Gaussian tail comparison is between two explicitly defined absolute constants c1 and c2 such that c2≈1.01 c1. A discussion of relative merits of this result versus limit theorems is given.
Two sample nonparametric procedures based on sample coverages for uncensored data.