La stima di variabili latenti da variabili osservate miste

The aim of this paper is to propose a general nonparametric model to estimate latent variables with scores non indeterminate; in this paper, following other approaches (PLS, RCD, RCDR), a latent variable (LV) is conceived as a linear combination of predictors (causes) which best predicts a set of de...

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Main Author: Pietro Giorgio Lovaglio
Format: Article
Language:English
Published: University of Bologna 2007-10-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/402
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spelling doaj-0bf761ea6f7b4f0985546aadbaeaffbd2020-11-24T22:16:41ZengUniversity of BolognaStatistica0390-590X1973-22012007-10-0162220321310.6092/issn.1973-2201/402393La stima di variabili latenti da variabili osservate mistePietro Giorgio LovaglioThe aim of this paper is to propose a general nonparametric model to estimate latent variables with scores non indeterminate; in this paper, following other approaches (PLS, RCD, RCDR), a latent variable (LV) is conceived as a linear combination of predictors (causes) which best predicts a set of dependent variables (indicators), maximising, in this manner, all available information about a LV in the soecified model. The model is also extented to categorical variables (nominal, ordinal) by means of optimal scaling methodology and applied to the estimate of a bidimensional LV as a proxy of human capital for US families in 1983.http://rivista-statistica.unibo.it/article/view/402
collection DOAJ
language English
format Article
sources DOAJ
author Pietro Giorgio Lovaglio
spellingShingle Pietro Giorgio Lovaglio
La stima di variabili latenti da variabili osservate miste
Statistica
author_facet Pietro Giorgio Lovaglio
author_sort Pietro Giorgio Lovaglio
title La stima di variabili latenti da variabili osservate miste
title_short La stima di variabili latenti da variabili osservate miste
title_full La stima di variabili latenti da variabili osservate miste
title_fullStr La stima di variabili latenti da variabili osservate miste
title_full_unstemmed La stima di variabili latenti da variabili osservate miste
title_sort la stima di variabili latenti da variabili osservate miste
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2007-10-01
description The aim of this paper is to propose a general nonparametric model to estimate latent variables with scores non indeterminate; in this paper, following other approaches (PLS, RCD, RCDR), a latent variable (LV) is conceived as a linear combination of predictors (causes) which best predicts a set of dependent variables (indicators), maximising, in this manner, all available information about a LV in the soecified model. The model is also extented to categorical variables (nominal, ordinal) by means of optimal scaling methodology and applied to the estimate of a bidimensional LV as a proxy of human capital for US families in 1983.
url http://rivista-statistica.unibo.it/article/view/402
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