1,721,031 research outputs found
Nonparametric inference via permutation tests for Cub models
No full textAbstract 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
Advances in CUB models with application to the evaluation of natural parks in the Dolomites
No full textThe Cub model and the permutation test on covariates of this model were applied to evaluate the customer satisfaction of tourists who visited the natural parks of the Dolomites on the north of Italy
Nonparametric methods for the comparison of two techniques of surgical operation to repair abdominal aortic aneurysms
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Permutation inference for a class of mixture models
No full textIn statistical surveys, people are often asked to express evaluations on several topics or to make an ordered arrangement in a list of objects (items, services, sentences, etc.); thus, the analysis of ratings and rankings is receiving a growing interest in many fields. In this framework, we develop a testing procedure for a class of mixture models with covariates (defined as cub models), proposed by Piccolo (2003) and D'Elia and Piccolo (2005) and generally developed in a parametric context. Instead, we propose a nonparametric solution to perform inference on cub models, specifically on the coefficients of the covariates. A simulation study proves that this approach is more appropriate in some specific data settings, mostly for small sample sizes. Copyright © Taylor & Francis Group, LLC
Customer satisfaction survey on Passito wine with the application of a new approach for modelling discrete choices
No full textA new method for modelling discrete choices, named Cub model, has been applied to a customer satisfaction survey about Passito, a typical italian wine, to study feeling and uncerteinty of the respondents
A comparison of FWE-Type multiple comparison procedures
No full textSome FWE-Type multiple comparisons procedures are compared in terms of power and percentage of correct classifications
Permutation test approach for the analysis of rating data
No full textIn this paper we refer to a testing problem concerning a methodology aimed at analyzing the behaviour of respondents when faced to multiple choices, i.e. CUB models.
Aim of this contribution is to indicate several preliminary testing problems within the multiple permutation tests. We take restricted permutation of raw data into account. In particular the problem of testing the influence of both subjects’ and objects’ covariates on the response variable is considered
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