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.

Advances in permutation tests for covariates in a mixture model for preference data analysis

BONNINI, Stefano;
2014

Abstract

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.
2014
9781493905683
Combination based test; Covariate effect; Mixture model; Permutation test
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2340122
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact