The rating problem arises very often in statistical surveys and a new approach for this problem is represented by the combination of uniform and binomial models. In the present work a simulation study is presented to prove the good power behavior of a permutation test on the covariates of a complex model, with more than one covariate. Moreover a discussion on the minimum sample size needed to perform such permutation test is also given
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the ...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
In social sciences researchers often meet the problem of determining if the distribution of a catego...
Abstract In statistical surveys, respondents are often asked to express evaluations on several topic...
In statistical surveys, people are often asked to express evaluations on several topics or to make a...
In statistical surveys, people are often asked to express evaluations on several topics or to make a...
In this work we propose a new two-sample test for clustered data. In order to test the null hypothes...
In recent years permutation testing methods have increased both in number of applications and in sol...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
In several real applications, in presence of categorical data, the interest is focused on the infere...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
In many applications of the multivariate analyses of variance, the classic parametric solutions for ...
In recent years permutation testing methods have increased both in number of applications and in sol...
In many sciences researchers often meet the problem of establishing if the distribution of a categor...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the ...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
In social sciences researchers often meet the problem of determining if the distribution of a catego...
Abstract In statistical surveys, respondents are often asked to express evaluations on several topic...
In statistical surveys, people are often asked to express evaluations on several topics or to make a...
In statistical surveys, people are often asked to express evaluations on several topics or to make a...
In this work we propose a new two-sample test for clustered data. In order to test the null hypothes...
In recent years permutation testing methods have increased both in number of applications and in sol...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
In several real applications, in presence of categorical data, the interest is focused on the infere...
Complex multivariate testing problems are frequently encountered in many scientific disciplines, suc...
In many applications of the multivariate analyses of variance, the classic parametric solutions for ...
In recent years permutation testing methods have increased both in number of applications and in sol...
In many sciences researchers often meet the problem of establishing if the distribution of a categor...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
Permutation testing in linear models, where the number of nuisance coefficients is smaller than the ...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
In social sciences researchers often meet the problem of determining if the distribution of a catego...