Partial Least Squares (Pls) is an estimation method and an algorithm for latent variable path (Lvp) models. Pls is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like Lisrel, Cosan and Eqs. The properties of special cases of Pls (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general Pls technique. The proof of the convergence of the Pls algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of Pls are referenced. The book gives the statistical underpinning for the computer programs Pls 1.8, which is in use in some 100 university computer centers, and for Pls/Pc. It is intended to be the background reference for the users of Pls 1.8, not as textbook or program manual.
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Partial Least Squares (Pls) is an estimation method and an algorithm for latent variable path (Lvp) models. Pls is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like Lisrel, Cosan and Eqs. The properties of special cases of Pls (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general Pls technique. The proof of the convergence of the Pls algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of Pls are referenced. The book gives the statistical underpinning for the computer programs Pls 1.8, which is in use in some 100 university computer centers, and for Pls/Pc. It is intended to be the background reference for the users of Pls 1.8, not as textbook or program manual.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual. 288 pp. Englisch. N° de réf. du vendeur 9783642525148
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Taschenbuch. Etat : Neu. Latent Variable Path Modeling with Partial Least Squares | Jan-Bernd Lohmöller | Taschenbuch | 286 S. | Englisch | 2013 | Physica | EAN 9783642525148 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105564274
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Partial Least Squares (PLS) is an estimation method and an algorithm for latent variable path (LVP) models. PLS is a component technique and estimates the latent variables as weighted aggregates. The implications of this choice are considered and compared to covariance structure techniques like LISREL, COSAN and EQS. The properties of special cases of PLS (regression, factor scores, structural equations, principal components, canonical correlation, hierarchical components, correspondence analysis, three-mode path and component analysis) are examined step by step and contribute to the understanding of the general PLS technique. The proof of the convergence of the PLS algorithm is extended beyond two-block models. Some 10 computer programs and 100 applications of PLS are referenced. The book gives the statistical underpinning for the computer programs PLS 1.8, which is in use in some 100 university computer centers, and for PLS/PC. It is intended to be the background reference for the users of PLS 1.8, not as textbook or program manual. N° de réf. du vendeur 9783642525148
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