We introduce a family of statistics, based on the empirical moment generating function, for testing goodness of fit to the two-parameter Weibull distribution or, equivalently, to the type I extreme value model. The asymptotic distribution of these statistics correspond to functionals of an appropriate gaussian limiting process. For one of the statistics considered, we estimate, via simulations, some of its sample quantiles, as well as the power of the statistic against some alternatives of interest
We will consider the goodness-of-fit tests for testing a form of the distribution function of the ob...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
A test for exponentiality is proposed which is consistent within the newly defined class of LIFRA li...
We introduce two families of statistics, functionals of the empirical moment generating function pro...
International audienceThis paper presents an up-to-date review of Goodness-of-Fit (GoF) tests for th...
International audienceThis paper presents an up-to-date review of Goodness-of-Fit (GoF) tests for th...
chapitre 5International audienceIn order to check that a parametric model provides acceptable tail a...
A weighted approximation to the tail empirical distribution function is derived which is suitable fo...
This research focuses on performing statistical inference when only a limited amount of information ...
This thesis considers estimation of the quantiles of the smallest extreme value distribution, someti...
summary:The empirical moment process is utilized to construct a family of tests for the null hypothe...
In this paper a test statistic which is a modification of the W statistic for testing the goodness o...
A method for approximating the terms of a generating function is used to approximate the distributio...
One form of the generalized gamma distribution brings out an association between the normal distribu...
summary:A test statistic for testing goodness-of-fit of the Cauchy distribution is presented. It is ...
We will consider the goodness-of-fit tests for testing a form of the distribution function of the ob...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
A test for exponentiality is proposed which is consistent within the newly defined class of LIFRA li...
We introduce two families of statistics, functionals of the empirical moment generating function pro...
International audienceThis paper presents an up-to-date review of Goodness-of-Fit (GoF) tests for th...
International audienceThis paper presents an up-to-date review of Goodness-of-Fit (GoF) tests for th...
chapitre 5International audienceIn order to check that a parametric model provides acceptable tail a...
A weighted approximation to the tail empirical distribution function is derived which is suitable fo...
This research focuses on performing statistical inference when only a limited amount of information ...
This thesis considers estimation of the quantiles of the smallest extreme value distribution, someti...
summary:The empirical moment process is utilized to construct a family of tests for the null hypothe...
In this paper a test statistic which is a modification of the W statistic for testing the goodness o...
A method for approximating the terms of a generating function is used to approximate the distributio...
One form of the generalized gamma distribution brings out an association between the normal distribu...
summary:A test statistic for testing goodness-of-fit of the Cauchy distribution is presented. It is ...
We will consider the goodness-of-fit tests for testing a form of the distribution function of the ob...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
A test for exponentiality is proposed which is consistent within the newly defined class of LIFRA li...