There are different confirmatory techniques to compare means, like hypothesis testing and (Bayesian) model selection. However, there is no software package in which these techniques are available. A Fortran 90 program is written, which enables researchers to apply these techniques to their data. Besides traditional hypotheses, like H0 : µ1 = µ2 = µ3 and Hu : µ1, µ2, µ3, order-restricted hypotheses, like µ1 > µ2 > µ3 or µ1 > µ2 = µ3 or µ1 > µ2 < µ3, can be evaluated
A program is described the purpose of which is to select the most powerful among four methods for co...
This dissertation consists of three distinct but related research projects. First of all, we study t...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...
There are different confirmatory techniques to compare means, like hypothesis testing and (Bayesian)...
In this paper, the performance of six types of techniques for comparisons of means is examined. Thes...
This paper presents a new statistical method and accompanying software for the evaluation of order c...
Researchers often have ideas about the ordering of model parameters. They frequently have one or mor...
In modern statistical and machine learning applications, there is an increasing need for developing ...
There have been considerable methodological developments of Bayes factors for hypothesis testing in ...
There have been considerable methodological developments of Bayes factors for hypothesis testing in ...
There has been a tremendous methodological development of Bayes factors for hypothesis testing in th...
The article focuses on the discussion of basic approaches to hypotheses testing, which are Fisher, J...
In this report a Bayesian solution to the problem of testing the equality of the means of k independ...
Researchers can express their expectations with respect to the group means in an ANOVA model through...
This paper discusses a Fortran 90 program referred to as BIEMS (Bayesian inequality and equality con...
A program is described the purpose of which is to select the most powerful among four methods for co...
This dissertation consists of three distinct but related research projects. First of all, we study t...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...
There are different confirmatory techniques to compare means, like hypothesis testing and (Bayesian)...
In this paper, the performance of six types of techniques for comparisons of means is examined. Thes...
This paper presents a new statistical method and accompanying software for the evaluation of order c...
Researchers often have ideas about the ordering of model parameters. They frequently have one or mor...
In modern statistical and machine learning applications, there is an increasing need for developing ...
There have been considerable methodological developments of Bayes factors for hypothesis testing in ...
There have been considerable methodological developments of Bayes factors for hypothesis testing in ...
There has been a tremendous methodological development of Bayes factors for hypothesis testing in th...
The article focuses on the discussion of basic approaches to hypotheses testing, which are Fisher, J...
In this report a Bayesian solution to the problem of testing the equality of the means of k independ...
Researchers can express their expectations with respect to the group means in an ANOVA model through...
This paper discusses a Fortran 90 program referred to as BIEMS (Bayesian inequality and equality con...
A program is described the purpose of which is to select the most powerful among four methods for co...
This dissertation consists of three distinct but related research projects. First of all, we study t...
We show how the Full Bayesian Significance Test (FBST) can be used as a model selection criterion. ...