Partial Least Squares Path Modeling, Hengky Latan; Richard Noonan

Автор: Krainski Elias, Gуmez-Rubio Virgilio, Bakka Haakon
Название: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and Inla
ISBN: 0367570645 ISBN-13(EAN): 9780367570644
Издательство: Taylor&Francis
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Описание: The Integrated Nested Laplace Approximation is a popular method for approximate Bayesian inference. INLA is an alternative to other methods for Bayesian inference, such as Markov Chain Monte Carlo, that are more computationally demanding. In addition, the R-INLA package for the R statistical software provides a way to fit such models in practice

Автор: Vinzi
Название: Partial Least Squares Path Modeling of Latent Variables
ISBN: 1482227819 ISBN-13(EAN): 9781482227819
Издательство: Taylor&Francis
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Описание: This book presents PLS-SEM as a useful practical statistical toolbox that can be used for estimating many different types of research models. In so doing, the authors provide the necessary technical prerequisites and theoretical treatment of various aspects of PLS-SEM prior to practical applications.

Автор: Necmi K. Avkiran; Christian M. Ringle
Название: Partial Least Squares Structural Equation Modeling
ISBN: 3319890956 ISBN-13(EAN): 9783319890951
Издательство: Springer
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Цена: 186330.00 T
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Описание: This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

Автор: Abdi
Название: The Multiple Facets of Partial Least Squares and Related Methods
ISBN: 3319406418 ISBN-13(EAN): 9783319406411
Издательство: Springer
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Цена: 111790.00 T
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Описание: This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods.

Автор: Frank Huber; Andreas Herrmann; Frederik Meyer; Joh
Название: Kausalmodellierung mit Partial Least Squares
ISBN: 3834905615 ISBN-13(EAN): 9783834905611
Издательство: Springer
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Цена: 47880.00 T
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Описание: Seit den achtziger Jahren finden Strukturgleichungsmodelle mit latenten Variablen gro e Beachtung in der empirischen Marketingforschung. Die Verwendung dieses Modellansatzes ist kontinuierlich angesteigen und hat sich zu einem Quasi-Standard entwickelt. Als Methode zur Auswertung kausaler Beziehungen bei denen latente Grц en eine Rolle spielen, kommt hдufig der LISREL-Ansatz zum Einsatz. In jьngster Vergangenheit wurden die Grenzen dieses Verfahren aufgezeigt und die Vorteile des Partial Least Square-Konzeptes herausgestellt.
Vor diesem Hintergrund stellt Kausalmodellierung mit Partial Least Squares mit der gдngigen Software die Anwendung des Verfahrens anhand von Screenshots an einem konkreten Beispiel vor und gewдhrleistet so den Einstieg aber auch eine Vertiefung in den PLS-Ansatz. Dabei werden alle notwendigen Prьfma e prдsentiert.

Автор: Cox Ian
Название: Discovering Partial Least Squares with Jmp
ISBN: 1612908225 ISBN-13(EAN): 9781612908229
Издательство: Неизвестно
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Цена: 79640.00 T
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Описание: Partial Least Squares (PLS) is a flexible statistical modeling technique that applies to data of any shape. It models relationships between inputs and outputs even when there are more predictors than observations. Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores PLS and positions it within the more general context of multivariate analysis. Ian Cox and Marie Gaudard use a "learning through doing" style. This approach, coupled with the interactivity that JMP itself provides, allows you to actively engage with the content. Four complete case studies are presented, accompanied by data tables that are available for download. The detailed "how to" steps, together with the interpretation of the results, help to make this book unique. Discovering Partial Least Squares with JMP is of interest to professionals engaged in continuing development, as well as to students and instructors in a formal academic setting. The content aligns well with topics covered in introductory courses on: psychometrics, customer relationship management, market research, consumer research, environmental studies, and chemometrics. The book can also function as a supplement to courses in multivariate statistics and to courses on statistical methods in biology, ecology, chemistry, and genomics. While the book is helpful and instructive to those who are using JMP, a knowledge of JMP is not required, and little or no prior statistical knowledge is necessary. By working through the introductory chapters and the case studies, you gain a deeper understanding of PLS and learn how to use JMP to perform PLS analyses in real-world situations. This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey. This book is part of the SAS Press program.

Автор: Cox Ian, Gaudard Marie
Название: Discovering Partial Least Squares with JMP
ISBN: 1642953164 ISBN-13(EAN): 9781642953169
Издательство: Неизвестно
Рейтинг:
Цена: 102930.00 T
Наличие на складе: Невозможна поставка.
Описание: Partial Least Squares (PLS) is a flexible statistical modeling technique that applies to data of any shape. It models relationships between inputs and outputs even when there are more predictors than observations. Using JMP statistical discovery software from SAS, Discovering Partial Least Squares with JMP explores PLS and positions it within the more general context of multivariate analysis.

Ian Cox and Marie Gaudard use a "learning through doing" style. This approach, coupled with the interactivity that JMP itself provides, allows you to actively engage with the content. Four complete case studies are presented, accompanied by data tables that are available for download. The detailed "how to" steps, together with the interpretation of the results, help to make this book unique.

Discovering Partial Least Squares with JMP is of interest to professionals engaged in continuing development, as well as to students and instructors in a formal academic setting. The content aligns well with topics covered in introductory courses on: psychometrics, customer relationship management, market research, consumer research, environmental studies, and chemometrics. The book can also function as a supplement to courses in multivariate statistics and to courses on statistical methods in biology, ecology, chemistry, and genomics.

While the book is helpful and instructive to those who are using JMP, a knowledge of JMP is not required, and little or no prior statistical knowledge is necessary. By working through the introductory chapters and the case studies, you gain a deeper understanding of PLS and learn how to use JMP to perform PLS analyses in real-world situations.

This book motivates current and potential users of JMP to extend their analytical repertoire by embracing PLS. Dynamically interacting with JMP, you will develop confidence as you explore underlying concepts and work through the examples. The authors provide background and guidance to support and empower you on this journey.

Автор: Herve Abdi; Wynne W. Chin; Vincenzo Esposito Vinzi
Название: New Perspectives in Partial Least Squares and Related Methods
ISBN: 1461482828 ISBN-13(EAN): 9781461482826
Издательство: Springer
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Цена: 139750.00 T
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Описание: In following the tradition of the six previous PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selection, sparse PLS regression, distance based PLS, significance vs.

Автор: Abdi Hervй, Esposito Vinzi Vincenzo, Russolillo Giorgio
Название: The Multiple Facets of Partial Least Squares and Related Methods: Pls, Paris, France, 2014
ISBN: 331982144X ISBN-13(EAN): 9783319821443
Издательство: Springer
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Цена: 93160.00 T
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Описание: This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods.

Автор: Herve Abdi; Wynne W. Chin; Vincenzo Esposito Vinzi
Название: New Perspectives in Partial Least Squares and Related Methods
ISBN: 1493946854 ISBN-13(EAN): 9781493946853
Издательство: Springer
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Цена: 121110.00 T
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Описание: In following the tradition of the six previous PLS meetings, these contributions also included a large variety of PLS approaches such as PLS metamodels, variable selection, sparse PLS regression, distance based PLS, significance vs.

Автор: Vincenzo Esposito Vinzi; Wynne W. Chin; J?rg Hense
Название: Handbook of Partial Least Squares
ISBN: 3662500434 ISBN-13(EAN): 9783662500439
Издательство: Springer
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Цена: 334480.00 T
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Описание: 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.

Автор: Carl Friedrich Gauss
Название: Theory of the Combination of Observations Least Subject to Errors: Part One, Part Two, Supplement
ISBN: 0898713471 ISBN-13(EAN): 9780898713473
Издательство: Mare Nostrum (Eurospan)
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Цена: 56010.00 T
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Описание: English translation of Gauss` two memoirs which contain his final, definitive treatment of least squares and wealth of additional material.