Wang huiwen (65 risultati)
Lingua: Inglese
Editore: Springer, 2010
Serie: Springer Handbooks of Computational Statistics, Libro 2 di 6. Libro 2 di 6 - Springer Handbooks of Computational Statistics
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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.
Altre immaginiLingua: Inglese
Editore: Springer, 2010
Serie: Springer Handbooks of Computational Statistics, Libro 2 di 6. Libro 2 di 6 - Springer Handbooks of Computational Statistics
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Hardcover. Condizione: Gut. 812 pp. Well preserved copy with only slight signs of wear 329 Sprache: Englisch Gewicht in Gramm: 1020.
Revue des Nouvelles Technologies de l'Information, E25 : Advances in Theory and Applications of High Dimensional and Symbolic Data Analysis
Guan, Rong/ Lechevallier, Yves/ Saporta, Gilbert/ Wang, Huiwen
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Paperback. Condizione: Brand New. 217 pages. French language. 9.37x6.22x0.55 inches. In Stock.
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Advances in Data Science : Symbolic, Complex, and Network Data
Diday, Edwin (EDT); Guan, Rong (EDT); Saporta, Gilbert (EDT); Wang, Huiwen (EDT)
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Advances in Data Science : Symbolic, Complex, and Network Data
Diday, Edwin (EDT); Guan, Rong (EDT); Saporta, Gilbert (EDT); Wang, Huiwen (EDT)
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Advances in Data Science : Symbolic, Complex, and Network Data
Diday, Edwin (EDT); Guan, Rong (EDT); Saporta, Gilbert (EDT); Wang, Huiwen (EDT)
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Hardcover. Condizione: new. Hardcover. Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These… data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Advances in Data Science : Symbolic, Complex, and Network Data
Diday, Edwin (EDT); Guan, Rong (EDT); Saporta, Gilbert (EDT); Wang, Huiwen (EDT)
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Condizione: Gut. Zustand: Gut | Seiten: 612 | Sprache: Englisch | Produktart: Bücher | This edited volume brings together some of the best papers from the 2022 Conference on Partial Least Squares Structural Equation Modeling (PLS-SEM), held at the Babe¿-Bolyai University, Cluj, Romania. The volume seeks to expand the current res…earch on PLS-SEM and promote the method¿s application in the scientific community. It gathers research from scholars in many different fields who work on the advancement of PLS-SEM and who apply the method to explain and predict behavioral phenomena.Researchers today can draw on a wide array of different PLS-SEM-based algorithms, complementary methods, and model evaluation metrics. Tying in with these developments, the first part of this book documents methodological advances of PLS-SEM, which extend the researchers¿ current toolbox of methods. The following parts demonstrate state-of-the-art applications of PLS-SEM in various fields such as consumer behavior, hospitality, human resource management, entrepreneurship, and organizational behavior. Special emphasis is placed on studies that apply complementary methods to offer a more nuanced analysis of the research questions.
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Condizione: New. 2020. 1st Edition. Hardback. . . . . .
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Advances in Data Science: Symbolic, Complex, and Network Data: Vol 4
Diday, Edwin (Editor) / Guan, Rong (Editor) / Saporta, Gilbert (Editor) / Wang, Huiwen (Editor)
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Hardcover. Condizione: Brand New. 234 pages. 9.50x6.25x0.75 inches. In Stock.
Altre immaginiLingua: Inglese
Editore: Springer-Verlag Publishing, 2010
Serie: Springer Handbooks of Computational Statistics, Libro 2 di 6. Libro 2 di 6 - Springer Handbooks of Computational Statistics
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Da: Salish Sea Books, Bellingham, WA, U.S.A.Salish Sea Books
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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 i…n 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.
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Taschenbuch. Condizione: Neu. State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM) | Methodological Extensions and Applications in the Social Sciences and Beyond | L¿cr¿mioara Radomir (u. a.) | Taschenbuch | Springer Proceedings in Business and Economics | xi | Englisch | 2024 | Springer | EAN 9783031…345913 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Condizione: New. 2020. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.
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Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 258 | Sprache: Englisch | Produktart: Bücher | Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compo…sitional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.
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Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 258 | Sprache: Englisch | Produktart: Bücher | Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, comple…x, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.
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Condizione: New.
Lingua: Inglese
Editore: Springer, 2010
Serie: Springer Handbooks of Computational Statistics, Libro 2 di 6. Libro 2 di 6 - Springer Handbooks of Computational Statistics
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Da: Buchpark, Trebbin, GermaniaBuchpark
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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.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2024
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume brings together some of the best papers from the 2022 Conference on Partial Least Squares Structural Equation Modeling (PLS-SEM), held at the Babe -Bolyai University, Cluj, Romania. The volume seeks to expand the current researc…h on PLS-SEM and promote the method's application in the scientific community. It gathers research from scholars in many different fields who work on the advancement of PLS-SEM and who apply the method to explain and predict behavioral phenomena.Researchers today can draw on a wide array of different PLS-SEM-based algorithms, complementary methods, and model evaluation metrics. Tying in with these developments, the first part of this book documents methodological advances of PLS-SEM, which extend the researchers' current toolbox of methods. The following parts demonstrate state-of-the-art applications of PLS-SEM in various fields such as consumer behavior, hospitality, human resource management, entrepreneurship, and organizational behavior. Special emphasis is placed on studies that apply complementary methods to offer a more nuanced analysis of the research questions.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2023
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited volume brings together some of the best papers from the 2022 Conference on Partial Least Squares Structural Equation Modeling (PLS-SEM), held at the Babe -Bolyai University, Cluj, Romania. The volume seeks to expand the current research on PL…S-SEM and promote the method's application in the scientific community. It gathers research from scholars in many different fields who work on the advancement of PLS-SEM and who apply the method to explain and predict behavioral phenomena.Researchers today can draw on a wide array of different PLS-SEM-based algorithms, complementary methods, and model evaluation metrics. Tying in with these developments, the first part of this book documents methodological advances of PLS-SEM, which extend the researchers' current toolbox of methods. The following parts demonstrate state-of-the-art applications of PLS-SEM in various fields such as consumer behavior, hospitality, human resource management, entrepreneurship, and organizational behavior. Special emphasis is placed on studies that apply complementary methods to offer a more nuanced analysis of the research questions.
Lingua: Inglese
Editore: Springer, 2010
Serie: Springer Handbooks of Computational Statistics, Libro 2 di 6. Libro 2 di 6 - Springer Handbooks of Computational Statistics
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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 Her…man 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.
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Condizione: New. 2023rd edition NO-PA16APR2015-KAP.
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Hardcover. Condizione: new. Hardcover. Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These… data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
