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Auteur principal: G. Vidotto
Format: Artículo científico
Langue:en
Publié: Universitat de València 2010
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Accès en ligne:https://www.redalyc.org/articulo.oa?id=16917002003
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author G. Vidotto
author_facet G. Vidotto
contents Averaging models: parameters estimation with the R-Average procedure G. Vidotto D. Massidda S. Noventa Psicología The Functional Measurement approach, proposed within the theoretical framework of Information Integration Theory (Anderson, 1981, 1982), can be a useful multi-attribute analysis tool. Compared to the majority of statistical models, the averaging model can account for interaction effects without adding complexity. The R-Average method (Vidotto & Vicentini, 2007) can be used to estimate the parameters of these models. By the use of multiple information criteria in the model selection procedure, R-Average allows for the identification of the best subset of parameters that account for the data. After a review of the general method, we present an implementation of the procedure in the framework of R-project, followed by some experiments using a Monte Carlo method. 2010 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917002003 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.3 Vol.31
format Artículo científico
id redalyc_16917002003
language en
publishDate 2010
publisher Universitat de València
spellingShingle Averaging models: parameters estimation with the R-Average procedure
G. Vidotto
Psicología
Averaging models: parameters estimation with the R-Average procedure G. Vidotto D. Massidda S. Noventa Psicología The Functional Measurement approach, proposed within the theoretical framework of Information Integration Theory (Anderson, 1981, 1982), can be a useful multi-attribute analysis tool. Compared to the majority of statistical models, the averaging model can account for interaction effects without adding complexity. The R-Average method (Vidotto & Vicentini, 2007) can be used to estimate the parameters of these models. By the use of multiple information criteria in the model selection procedure, R-Average allows for the identification of the best subset of parameters that account for the data. After a review of the general method, we present an implementation of the procedure in the framework of R-project, followed by some experiments using a Monte Carlo method. 2010 artículo científico 0211-2159 https://www.redalyc.org/articulo.oa?id=16917002003 en http://www.redalyc.org/revista.oa?id=169 Psicológica application/pdf Universitat de València Psicológica (España) Num.3 Vol.31
title Averaging models: parameters estimation with the R-Average procedure
topic Psicología
url https://www.redalyc.org/articulo.oa?id=16917002003