Structural equation modelling with partial least squares using stata and r, Mehmetoglu, Mehmet (norwegian University Of Science & Technology, Trondheim, Norway) Venturini, Sergio

Автор: Cameron
Название: Microeconometrics Using Stata
ISBN: 1597180734 ISBN-13(EAN): 9781597180733
Издательство: Taylor&Francis
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Цена: 83690.00 T
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Описание: Updated to reflect Stata 11, this revised edition offers a complete and up-to-date survey of microeconometric methods available in Stata. The authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.

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: 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: Hengky Latan; Richard Noonan
Название: Partial Least Squares Path Modeling
ISBN: 3319877143 ISBN-13(EAN): 9783319877143
Издательство: Springer
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Цена: 149060.00 T
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Описание:

Автор: Cox Ian, Gaudard Marie
Название: Discovering Partial Least Squares with JMP
ISBN: 1642953164 ISBN-13(EAN): 9781642953169
Издательство: Неизвестно
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Цена: 102930.00 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.

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: 1461482828 ISBN-13(EAN): 9781461482826
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Cox Ian
Название: Discovering Partial Least Squares with Jmp
ISBN: 1612908225 ISBN-13(EAN): 9781612908229
Издательство: Неизвестно
Рейтинг:
Цена: 79640.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Baldwin, Scott
Название: Psychological Statistics and Psychometrics Using Stata
ISBN: 1597183032 ISBN-13(EAN): 9781597183031
Издательство: Taylor&Francis
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Цена: 57150.00 T
Наличие на складе: Невозможна поставка.
Описание: This book also discusses measurement concepts that are crucial in psychometrics. For instance, the author explores how reliability and validity can be understood and evaluated using exploratory and confirmatory factor analysis. The author includes dozens of worked examples using real data to illustrate the theory and concepts.

Автор: Baum, Christopher F,
Название: Environmental econometrics using Stata /
ISBN: 1597183555 ISBN-13(EAN): 9781597183550
Издательство: Taylor&Francis
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Цена: 61240.00 T
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Описание: Aspects of environmental change are some of the greatest challenges faced by policymakers today. The key issues addressed by environmental science are often empirical, and in many instances very detailed, sizable datasets are available. Researchers in this field should have a solid understanding of the econometric tools best suited for analysis of these data.

While complex and expensive physical models of the environment exist, it is becoming increasingly clear that reduced-form econometric models have an important role to play in modeling environmental phenomena. In short, successful environmental modeling does not necessarily require a structural model, but the econometric methods underlying a reduced-form approach must be competently executed. Environmental Econometrics Using Stata provides an important starting point for this journey by presenting a broad range of applied econometric techniques for environmental econometrics and illustrating how they can be applied in Stata.

The emphasis is not only on how to formulate and fit models in Stata but also on the need to use a wide range of diagnostic tests in order to validate the results of estimation and subsequent policy conclusions. This focus on careful, reproducible research should be appreciated by academic and non-academic researchers who are seeking to produce credible, defensible conclusions about key issues in environmental science.