Add to ORKGAbstract In statistical surveys, respondents are often asked to express evaluations on several topics. The rating problem can be often faced in many fields. A new approach is represented by a class of mixture models with covariates (CUB models). Together with parametric inference, a permutation solution to test for covariates effects, when an univariate response is considered, has been discussed in [1], where the preference for a permutation test as compared to asymptotic ones when the sample size is moderate or even small has been justified through a simulation study. We propose an extension of this nonparametric inference to deal with the multivariate case. The method is applied to a real data set
In this work we propose a new two-sample test for clustered data. In order to test the null hypothes...
We proposed a nonparametric methodology based on partial permutation tests and NPC methodology, to t...
In this paper we discuss the use of dummy variables as sensible covariates in a class of statistical...
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...
The rating problem arises very often in statistical surveys and a new approach for this problem is r...
The rating problem arises very often in statistical surveys, where respondents are asked to evaluate...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
In recent years permutation testing methods have increased both in number of applications and in sol...
When the population, from which the samples are extracted, is not normally distributed, or if the sa...
When the population, from which the samples are extracted, is not normally distributed, or if the sa...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
In recent years permutation testing methods have increased both in number of applications and in sol...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
International audienceThis article deals with nonparametric permutation testing methods for repeated...
In this work we propose a new two-sample test for clustered data. In order to test the null hypothes...
We proposed a nonparametric methodology based on partial permutation tests and NPC methodology, to t...
In this paper we discuss the use of dummy variables as sensible covariates in a class of statistical...
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...
The rating problem arises very often in statistical surveys and a new approach for this problem is r...
The rating problem arises very often in statistical surveys, where respondents are asked to evaluate...
This paper deals with nonparametric methods for hypothesis testing with special regard to permutatio...
In recent years permutation testing methods have increased both in number of applications and in sol...
When the population, from which the samples are extracted, is not normally distributed, or if the sa...
When the population, from which the samples are extracted, is not normally distributed, or if the sa...
Developing powerful hypothesis testing procedures devoted at comparing multivariate populations is q...
In recent years permutation testing methods have increased both in number of applications and in sol...
A mixture model (denoted CUB) for ordinal data has recently been proposed in literature. Specificall...
International audienceThis article deals with nonparametric permutation testing methods for repeated...
In this work we propose a new two-sample test for clustered data. In order to test the null hypothes...
We proposed a nonparametric methodology based on partial permutation tests and NPC methodology, to t...
In this paper we discuss the use of dummy variables as sensible covariates in a class of statistical...