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gebundene Ausgabe. Condizione: Gut. 798 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1355.

Hardcover. Condizione: Gut. 812 pp. Well preserved copy with only slight signs of wear 329 Sprache: Englisch Gewicht in Gramm: 1020.

Condizione: Like New. Like New; Hardcover; This book is brand new and still sealed in the publisher's original shrinkwrap; Corners are slightly "bumped" through the plastic; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Yellow and orange covers with title in white and orange lettering; 2010, Springer-Verlag Publishing; 798 pages; "Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics)," by Vincenzo Esposito Vinzi, et al.

Condizione: Gut. Zustand: Gut | Seiten: 812 | Sprache: Englisch | Produktart: Bücher | Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where ¿soft models and soft datä were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of ¿the basic design¿. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers.

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 812 | Sprache: Englisch | Produktart: Bücher | Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where ¿soft models and soft datä were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of ¿the basic design¿. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. In English.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where 'soft models and soft data' were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of 'the basic design'. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where 'soft models and soft data' were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of 'the basic design'. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers.

Hardcover. Condizione: Brand New. 850 pages. 9.49x6.57x1.89 inches. In Stock.

Hardcover. Condizione: gut. 2005. In der empirischen Wirtschafts- und Sozialforschung werden Strukturgleichungsmodelle mit latenten Variablen immer bedeutender. Ein wichtiges Verfahren ist die PLS-(Partial-Least-Squares-) Pfadmodellierung. Die erste Einführung in deutscher Sprache ist zugleich als Nachschlagewerk gut geeignet. Mit neuesten Anwendungen aus Forschung und Praxis. Über den Autor:Prof. Dr. Friedhelm Bliemel ist Inhaber des Lehrstuhls für Betriebswirtschaftslehre, insbesondere Marketing an der Universität Kaiserslautern. Dr. Georg Fassott ist Akademischer Rat am Lehrstuhl von Professor Bliemel, an der Universität Kaiserslautern. Reihe/Serie Handelsblatt Sprache deutsch Wirtschaftswissenschaften BWL Betriebswirtschaft Management Anwendung Bliemel Empirie Empirische Wirtschaftsforschung Handbuch Kausalanalyse Methoden PLS-Pfadmodellierung ISBN-10 3-7910-2360-8 / 3791023608 ISBN-13 978-3-7910-2360-1 / 9783791023601 Handbuch PLS-Pfadmodellierung. Methoden, Anwendung, Praxisbeispiele [Gebundene Ausgabe] Friedhelm Bliemel (Autor), Andreas Eggert (Autor), Georg Fassott (Autor), Jörg Henseler (Autor) In deutscher Sprache. 300 pages. 24,2 x 17,6 x 2,4 cm.

Condizione: New. In German.

Condizione: New. pp. 216 2006th edition NO-PA16APR2015-KAP.

Paperback. Condizione: Brand New. 238 pages. German language. 8.20x5.80x0.55 inches. In Stock.

Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Deutsch | Produktart: Bücher | Jörg Henseler untersucht, welche Faktoren bestimmen, ob ein Konsument seinen Stromanbieter wechselt. Er leitet aus bestehenden Theorien Hypothesen zu direkten und moderierenden Effekten auf das Wechselverhalten von Konsumenten im Strommarkt ab und gibt Handlungsempfehlungen sowohl für Anbieter in der Angreifer- als auch in der Verteidigerposition.

Taschenbuch. Condizione: Neu. Das Wechselverhalten von Konsumenten im Strommarkt | Eine empirische Untersuchung direkter und moderierender Effekte | Jörg Henseler | Taschenbuch | xxii | Deutsch | 2006 | Deutscher Universitätsverlag | EAN 9783835002661 | Verantwortliche Person für die EU: Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Up-to-date review of the PLS methods recently developed and their applications in marketingComplete and comprehensive overview of the fieldFocus both on statistical methodology and selected real world problemsUp-to-date review of.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Up-to-date review of the PLS methods recently developed and their applications in marketingComplete and comprehensive overview of the fieldFocus both on statistical methodology and selected real world problemsUp-to-date review of.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where 'soft models and soft data' were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of 'the basic design'. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers. 812 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Partial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where 'soft models and soft data' were the rule rather than the exception, and where approaches strongly oriented at prediction would be of great value. Theauthorwasfortunatetowitnessthedevelopment rsthandforafewyears. Herman Wold suggested (in 1977) to write a PhD-thesis on LISREL versus PLS in the context of latent variable models, more speci cally of 'the basic design'. I was invited to his research team at the Wharton School, Philadelphia, in the fall of 1977. Herman Wold also honoured me by serving on my PhD-committee as a distinguished and decisive member. The thesis was nished in 1981. While I moved into another direction (speci cation, estimation and statistical inference in the c- text of model uncertainty) PLS sprouted very fruitfully in many directions, not only as regards theoretical extensions and innovations (multilevel, nonlinear extensions et cetera) but also as regards applications, notably in chemometrics, marketing, and political sciences. The PLS regression oriented methodology became part of main stream statistical analysis, as can be gathered from references and discussions in important books and journals. See e. g. Hastie et al. (2001), or Stone and Brooks (1990),Frank and Friedman (1993),Tenenhauset al. (2005),there are manyothers. 812 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. It features papers on the use and the analysis of latent variables and indicators by means of the PLS path modeling approach from the design of the causal network to model assessment and improvement. Within the PLS framework, the handbook also addresses advanced topics. Most chapters comprise a thorough discussion of applications to marketing and related areas, some tutorials focus on key aspects of PLS analysis with a didactic approach.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 812 pp. Englisch.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This handbook provides a comprehensive overview of Partial Least Squares (PLS) methods with specific reference to their use in marketing and with a discussion of the directions of current research and perspectives. It covers the broad area of PLS methods, from regression to structural equation modeling applications, software and interpretation of results. It features papers on the use and the analysis of latent variables and indicators by means of the PLS path modeling approach from the design of the causal network to model assessment and improvement. Within the PLS framework, the handbook also addresses advanced topics. Most chapters comprise a thorough discussion of applications to marketing and related areas, some tutorials focus on key aspects of PLS analysis with a didactic approach.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 812 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Jörg Henseler untersucht, welche Faktoren bestimmen, ob ein Konsument seinen Stromanbieter wechselt. Er leitet aus bestehenden Theorien Hypothesen zu direkten und moderierenden Effekten auf das Wechselverhalten von Konsumenten im Strommarkt ab und gibt Handlungsempfehlungen sowohl für Anbieter in der Angreifer- als auch in der Verteidigerposition. 240 pp. Deutsch.