EXERCICE 1 Un vibreur de fréquence f = 100 Hz met en vibration l ...

A High-Dimensional Nonparametric Multivariate Test for Mean Vector
A class of multivariate distribution-free tests of independence based ...
The effect of univariate bias adjustment on multivariate hazard ... - ESD The class of elliptical distributions encompasses many useful non-Gaussian multivariate distributions such as multivariate t distribution, multivariate logistic ...
Is time a variable like the others in multivariate statistical ... - ESD Cannon, A. J.: Multivariate Bias Correction of Climate Model. Output: Matching Marginal Distributions and Intervari- able Dependence Structure, J. Climate, 29, ...
Generalized Cramér?von Mises goodness-of-fit tests for multivariate ... test of goodness-of-fit for a class of multivariate generalized Gaussian distributions based on maximum entropy principle via using the k-th nearest ...
Entropy-based goodness-of-fit tests for multivariate distributions By using the log-normal distribution parameters, µ and ?, we can test the significance of multivariate normality. The Wald test statistic for multivariate ...
Bartlett correction of an independence test in a multivariate Poisson ... of multivariate distributions based on the Euclidean distance between sample elements. The test statistic belongs to a class of multivariate statistics ...
MVN: An R Package for Assessing Multivariate Normality This work examines directional testing for hypotheses on a vector parameter of interest in p-variate normal distributions when ni independent observations are ...
micompr: An R Package for Multivariate Independent Comparison of ... Abstract: This article discusses an informative goodness-of-fit (iGOF) ap- proach to study multivariate distributions. When the null model is rejected,.
Robust Evaluation of Multivariate Density Forecasts Multivariate extreme value theory, tail dependence, bias cor- ... multivariate distributions that satisfy the third-order condition (7). For the.
Multivariate Distributions - Statistics & Data Science Multivariate Distributions. JANOS GALAMBOS*. Let (X1j, X2j, *-, Xmj), j = 1, 2, --, n, be a sample of size n on an m-dimensional vector (X1, X2, *--, Xm), ...
Multivariate Distributions - Statistics & Data Science mvtnorm contains functions for calculating the density, cumulative distribution and quantiles of the multivariate Gaussian, as well as generating random ...