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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University of Bologna
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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 |
work_keys_str_mv |
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