1 Chi-squared goodness-of-fit test

We want to realize a goodness-of-fit test to establish whether or not the empirical distri- bution of the weights differs from the the normal distribution with expectation

The probability of the type II error is not considered (the probability of accepting the false hypothesis) 3). Selection of the statistic of a GoF test is determined by the

Note that the goodness-of-fit test requires somewhat different strategies to those employed for two-sample and independence testing [19, 20], which become computationally prohibitive

This part is not exactly an illustration of the theoretical part since it does not focus on the separating rate between the alternative and the null hypothesis, but it is devoted to

Keywords and phrases: Diagnostic Information, Elliptical Distribution, Goodness-of- fit test, Multivariate Laplace distribution, Multivariate logistic distribution, Multivariate

Using the result concerning the convergence in distribution of stochastic integrals (see Jakubowski et al... Consequently, by using Lemma 4.2, we obtain the first part of

In order to check that a parametric model provides acceptable tail approx- imations, we present a test which compares the parametric estimate of an extreme upper quantile with

Our goal is to investigate the asymptotic properties of a kernel density estimator asso- ciated with the driven noise of a linear regression in adaptive tracking and to propose