In the paper we consider a two-level chi-square procedure and propose a way to enlarge the power of the procedure under common alternatives. There are given theoretical results for local alternatives and results of the Monte-Carlo experiments
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
This thesis is about multiple hypothesis testing and its relation to the P-value. In Chapter 1, the ...
We are concerned with three different types of multivariate chi-square distributions. Their members ...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
We are concerned with a situation in which we would like to test multiple hypotheses with tests whos...
We are concerned with multiple testing in the setting where p-values are unknown and can only be app...
We consider hypothesis testing problems arising in e.g. the context of comparing k treatments with a...
Abstract Background Power analysis is a critical aspect of the design of experiments to detect an ef...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
We are considered with three different types of multivariate chi-square distributions. Their member...
Multiple (simultaneous) hypothesis testing is key for avoiding data dredging\u27\u27 with repeated ...
Significance testing is one of the main objectives of statistics. The Neyman-Pearson lemma provides ...
Multiple (simultaneous) hypothesis testing is key for avoiding data dredging\u27\u27 with repeated ...
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
This thesis is about multiple hypothesis testing and its relation to the P-value. In Chapter 1, the ...
We are concerned with three different types of multivariate chi-square distributions. Their members ...
In this article, we introduce a novel procedure for improving power of multiple testing procedures (...
The field of multiple hypothesis testing has traditionally focused on defining and estimating vari...
We are concerned with a situation in which we would like to test multiple hypotheses with tests whos...
We are concerned with multiple testing in the setting where p-values are unknown and can only be app...
We consider hypothesis testing problems arising in e.g. the context of comparing k treatments with a...
Abstract Background Power analysis is a critical aspect of the design of experiments to detect an ef...
This paper deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MCPs...
We are considered with three different types of multivariate chi-square distributions. Their member...
Multiple (simultaneous) hypothesis testing is key for avoiding data dredging\u27\u27 with repeated ...
Significance testing is one of the main objectives of statistics. The Neyman-Pearson lemma provides ...
Multiple (simultaneous) hypothesis testing is key for avoiding data dredging\u27\u27 with repeated ...
This article deals with the use of the Closed Testing approach in Multiple Comparison Procedures (MC...
Many scientific experiments subject to rigorous statistical analysis involve the simultaneous evalua...
This thesis is about multiple hypothesis testing and its relation to the P-value. In Chapter 1, the ...