Morel, Guy

Plan : 1- Introduction. 2- Choix entre deux probabilités. 2.1 Définition des experts. p. 10 2.2 Fonctions de test simples. p. 13 2.3 Ensemble des experts. p. 16 2.4 Votes des experts. p. 19 2.5 Vote pondéré. p. 23 3- Règles de décision de Bol'shev. 3.1 Définitions et propriétés. p. 25 3.2 Votes des experts et règles de Bol'shev. p. 31 4- Choix entr...

de bragança pereira, carlos alberto stern, julio michael

A Bayesian measure of evidence for precise hypotheses is presented. The intention is to give a Bayesian alternative to significance tests or, equivalently, to p-values. In fact, a set is defined in the parameter space and the posterior probability, its credibility, is evaluated. This set is the "Highest Posterior Density Region" that is "tangent" t...

Yanful, Ernest K. Orlandea, Marcela P. Eliasziw, Michael
Published in
Water, Air, and Soil Pollution

Field experiments were conducted to evaluate the relativeeffectiveness of several covers and amendment techniques forpreventing or controlling acid generation in a pyritic minewaste rock. The covers and techniques consisted of water cover,soil cover, wood bark cover, limestone addition and phosphaterock addition. Water quality data (pH, sulphate, z...

Ghorbanzadeh, Dariush Lounes, Rachid

We propose a bayesian analysis of detection of a change of parameter in a sequence of independent random variables from exponential family. The test uses the highest posterior density credible set.

Changlin, Mei Wenxiu, Zhang Yee, Leung
Published in
Acta Mathematicae Applicatae Sinica

Some fundamental issues on statistical inferences relating to varying-coefficient regression models are addressed and studied. An exact testing procedure is proposed for checking the goodness of fit of a varying-coefficient model fited by the locally weighted regression technique versus an ordinary linear regression model. Also, an appropriate stat...

Zhang, Jin Wu, Yuehua
Published in
Annals of the Institute of Statistical Mathematics

The distribution of Kolmogorov-Smirnov statistic can be globally approximated by a general beta distribution. The approximation is very simple and accurate. It can be easily implemented in any statistical software. Therefore, we can use a beta distribution to find the practical p-value of a goodness-of-fit test, which is much simpler than existing ...

Hashemi, Reza Commenges, Daniel
Published in
Lifetime Data Analysis

We consider a situation which is common in epidemiology, in which several transformations of an explanatory variable are tried in a Cox model and the most significant test is retained. The p-value should then be corrected to take account of the multiplicity of tests. Bonferroni method is often too conservative because the tests may be highly positi...

Liquet, Benoit

Cette thèse développe des méthodes de sélection de modèles pour des applications en Biostatistique et plus particulièrement dans le domaine médical. Dans la première partie, nous proposons une méthode et un programme de correction du niveau de signification d'un test lorsque plusieurs codages d'une variable explicative sont essayés. Ce travail est ...

Pearn, W. L. Yang, Y. S.
Published in
Quality and Quantity

Process precision index Cp has been widely used in the manufacturing industry to provide numerical measures on process potential. Pearn et al. (1998) considered an unbiased estimator of Cp for one single sample. They showed that the unbiased estimator is the UMVUE. They also proposed an efficient test for Cp based on one single sample, and showed t...

Filzmoser, P. Viertl, R.
Published in
Metrika

Statistical hypothesis testing is very important for finding decisions in practical problems. Usually, the underlying data are assumed to be precise numbers, but it is much more realistic in general to consider fuzzy values which are non-precise numbers. In this case the test statistic will also yield a non-precise number. This article presents an ...