Langue: anglais
Edité par Springer-Verlag, New York, NY, 1989
ISBN 10 : 0387913637 ISBN 13 : 9780387913636
Vendeur : Lily of the Valley Books, Waynesboro, VA, Etats-Unis
EUR 80,27
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Ajouter au panierHardcover. Etat : Very Good. No Jacket. Book is used with some wear to the edges of the boards. Previous owner's stamped name on front free endpaper. Tightly bound copy with clean interior having no markings, writing, underlining, or highlighting in margins or text block. Inv. # 10043.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 100,66
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Ajouter au panierEtat : New. In.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 100,79
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Ajouter au panierPF. Etat : New.
Edité par Physica-Verlag, Heidelberg, 1989
Vendeur : Second Story Books, ABAA, Rockville, MD, Etats-Unis
EUR 56,88
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Ajouter au panierHardcover. Octavo; G+; purple spine with white and red text; no jacket; cloth exterior has fairly slight wear; rubbed corners; slightly splayed boards; text block exterior edges lightly age toned; interior clean; illustrated; pp 283. 1363629. FP New Rockville Stock.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 140,14
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. reprint edition. 286 pages. 9.61x6.70x0.65 inches. In Stock.
EUR 86,60
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Ajouter au panierTaschenbuch. 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.
Langue: anglais
Edité par Physica-Verlag HD Nov 2013, 2013
ISBN 10 : 3642525148 ISBN 13 : 9783642525148
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 96,29
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Ajouter au panierTaschenbuch. 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.
Vendeur : moluna, Greven, Allemagne
EUR 83,50
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 t.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 96,29
Quantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. 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.