M-Tests in Multivariate Models.
Near-exact distributions for the generalized Wilks Lambda statistic
Two near-exact distributions for the generalized Wilks Lambda statistic, used to test the independence of several sets of variables with a multivariate normal distribution, are developed for the case where two or more of these sets have an odd number of variables. Using the concept of near-exact distribution and based on a factorization of the exact characteristic function we obtain two approximations, which are very close to the exact distribution but far more manageable. These near-exact distributions...
Necessary conditions for the bootstrap of the mean of a triangular array
Nonlinear Regression and Curved Exponential Families. Improvement of the Approximation to the Asymptotic Distribution.
Normalité asymptotique d'une classe de statistiques de rangs sérielles multivariées
Normalizing constants for a statistic based on logarithms of disjoint m-spacings
The paper is concerned with the asymptotic normality of a certain statistic based on the logarithms of disjoint m-spacings. The exact and asymptotic mean and variance are computed in the case of uniform distribution on the interval [0,1]. This result is generalized to the case when the sample is drawn from a distribution with positive step density on [0,1].
Note on dispersion of .
Note on Dispersion of Xalpha
On a simple estimate of correlations of stationary random sequences
On accuracy of improved -approximations.
On approximations of transformed chi-squared distributions in statistical applications.
On asymptotic normality for M-dependent U-statistics.
On bounds for the characteristic functions of some degenerate multidimensional distributions.
On estimation of reliability in the exponential case
On Functional of Order Statistics.
On general asymptotic behaviour of order statistics with random index.
On generalized extreme-value order statistics and moments
On inverse moments for a class of nonnegative random variables.
On normal approximation of large products of functions: A refinement of Blackwell's result.
On residual analysis for time series models