For multivariate normal models and exponential family models a multiple testing stepwise method is offered that is both admissible and consistent. The method is readily adaptable to selecting variables in linear regression models where it is akin to the forward selection method plus a screening stage plus a sign compatibility stage. The method is also adaptable to testing the local odds ratios in contingency tables in which the categories are ordered. Examples and simulations are included.Ph.D.Includes bibliographical references (p. 59-61)by Chuanwen Che
<p>This thesis is about Bayesian approaches for handling multiplicity. It considers three main kind...
The multiple procedure for stepwise regression analysis presented in this paper is based on traditio...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
The methodology developed in Somerville (Proceedings of the 25th Symposium on the Interface, Computi...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
It is common in econometric applications that several hypothesis tests are carried out at the same t...
summary: this paper deals with the application of multiple test procedures in the linear regression ...
Model specification and selection are recurring themes in econometric analysis. Both topics become c...
Covariance test is proposed for testing the significance of the predictor variable that enters the c...
Testing procedures can be considered decision procedures, and there exists the problem of how to dea...
The central theme of this thesis is the construction of simultaneous confidence regions (SCR) corres...
Stepwise methods for variable selection are frequently used to determine the predictors of an outcom...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...
<p>This thesis is about Bayesian approaches for handling multiplicity. It considers three main kind...
The multiple procedure for stepwise regression analysis presented in this paper is based on traditio...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
The methodology developed in Somerville (Proceedings of the 25th Symposium on the Interface, Computi...
The most popular multiple testing procedures are stepwise procedures based on P-values for individua...
It is common in econometric applications that several hypothesis tests are carried out at the same t...
summary: this paper deals with the application of multiple test procedures in the linear regression ...
Model specification and selection are recurring themes in econometric analysis. Both topics become c...
Covariance test is proposed for testing the significance of the predictor variable that enters the c...
Testing procedures can be considered decision procedures, and there exists the problem of how to dea...
The central theme of this thesis is the construction of simultaneous confidence regions (SCR) corres...
Stepwise methods for variable selection are frequently used to determine the predictors of an outcom...
This book focuses on all-pairwise multiple comparisons of means in multi-sample models, introducing ...
<p>This thesis is about Bayesian approaches for handling multiplicity. It considers three main kind...
The multiple procedure for stepwise regression analysis presented in this paper is based on traditio...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...