Henseler Jorg (56 results)
Language: English
Published by Springer, 2010
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gebundene Ausgabe. Condition: 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.
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Published by Springer, 2010
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Hardcover. Condition: Gut. 812 pp. Well preserved copy with only slight signs of wear 329 Sprache: Englisch Gewicht in Gramm: 1020.
Language: English
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Language: English
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Language: English
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Language: English
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Language: English
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Language: English
Published by Guilford Publications, New York, 2021
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Hardcover. Condition: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and e…xplores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Guilford Pubn, 2020
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Language: English
Published by The Guilford Press, 2021
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Language: English
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Language: English
Published by Guilford Publications, New York, 2021
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Hardcover. Condition: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and e…xplores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Guilford Publications, New York, 2021
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Hardcover. Condition: new. Hardcover. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Joerg Henseler introduces the types of research questions that can be addressed with composite-based SEM and e…xplores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importanceperformance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides. This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
More imagesLanguage: English
Published by Springer-Verlag Publishing, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Condition: 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.
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Condition: 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. W…old 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.
Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer Handbooks of Computational Statistics)
Esposito Vinzi, Vincenzo [Editor]; Chin, Wynne W. [Editor]; Henseler, Jörg [Editor]; Wang, Huiwen [Editor];
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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hardcover. Condition: New. In shrink wrap. Looks like an interesting title.
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Condition: New. pp. 814.
Language: English
Published by Springer, 2016
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Softcover
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Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Condition: 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 Herm…an 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.
Handbook of Partial Least Squares : Concepts, Methods and Applications
Vinzi, Vincenzo Esposito (EDT); Chin, Wynne W. (EDT); Henseler, Joerg (EDT); Wang, Huiwen (EDT)
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Handbook of Partial Least Squares : Concepts, Methods and Applications
Vinzi, Vincenzo Esposito (EDT); Chin, Wynne W. (EDT); Henseler, Joerg (EDT); Wang, Huiwen (EDT)
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Language: English
Published by Springer, 2016
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Softcover
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Language: English
Published by Springer, 2010
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Hardcover. Condition: gut. 2010. Handbook of Partial Least Squares In deutscher Sprache. pages.
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Handbook of Partial Least Squares : Concepts, Methods and Applications
Vinzi, Vincenzo Esposito (EDT); Chin, Wynne W. (EDT); Henseler, Joerg (EDT); Wang, Huiwen (EDT)
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Handbook of Partial Least Squares : Concepts, Methods and Applications
Vinzi, Vincenzo Esposito (EDT); Chin, Wynne W. (EDT); Henseler, Joerg (EDT); Wang, Huiwen (EDT)
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Language: English
Published by Springer, 2016
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer, 2010
Series: Book 2 of 6 - Springer Handbooks of Computational Statistics
- Hardcover
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Buch. Condition: 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 vigorou…sly 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.
