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Basic Principles of Structural Equation Modeling, Mueller


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Цена: 13969.00р.
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Автор: Mueller
Название:  Basic Principles of Structural Equation Modeling
ISBN: 9780387945163
Издательство: Springer
Классификация:



ISBN-10: 0387945164
Обложка/Формат: Hardback
Страницы: 257
Вес: 0.55 кг.
Дата издания: 01.07.1999
Серия: Probability Theory and Stochastic Processes / Springer Texts in Statistics
Язык: English
Издание: 1st ed. 1996. corr.
Иллюстрации: 24 black & white illustrations, 55 black & white t
Размер: 24.31 x 16.00 x 1.91
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: An introduction to lisrel and eqs
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: Structural equation modeling (SEM) emerged as a powerful data analysis tool for research in the social sciences, education, and psychology. This book provides an introduction to the subject suitable for beginning graduate students. It focuses on the basic concepts and applications of SEM within the social and behavioral sciences.


Principles and practice of structural equation modelling

Автор: Kline, Rex B.
Название: Principles and practice of structural equation modelling
ISBN: 1572306904 ISBN-13(EAN): 9781572306905
Издательство: Taylor&Francis
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Цена: 5696.00 р.
Наличие на складе: Поставка под заказ.

Описание: This bestselling text that has been popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modelling (SEM) is now in its second edition.

Beginner`s guide to structural equation modeling

Автор: Schumacker, Randall E. Lomax, Richard G.
Название: Beginner`s guide to structural equation modeling
ISBN: 0805840184 ISBN-13(EAN): 9780805840186
Издательство: Taylor&Francis
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Цена: 6117.00 р.
Наличие на складе: Поставка под заказ.

Описание: A basic introduction to structural equation modeling (SEM), this text focuses on the conceptual steps one takes in analyzing theoretical models. The authors` goal is to enable the reader to conduct their own SEM analysis and understand and critique SEM research.

Structural equation modeling with eqs

Автор: Byrne, Barbara M.
Название: Structural equation modeling with eqs
ISBN: 0805841261 ISBN-13(EAN): 9780805841268
Издательство: Taylor&Francis
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Цена: 9492.00 р.
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Описание: Researchers and students who want a more accessible alternative to the EQS manual will find exactly what they`re looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS the author "walks" the reader through the varied steps involved in the process of testing SEM

Structural Equation Modeling With AMOS

Автор: Byrne
Название: Structural Equation Modeling With AMOS
ISBN: 1138797030 ISBN-13(EAN): 9781138797031
Издательство: Taylor&Francis
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Цена: 8879.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.

Introduction to Structural Equation Modeling Using IBM SPSS

Автор: Blunch Niels
Название: Introduction to Structural Equation Modeling Using IBM SPSS
ISBN: 144624900X ISBN-13(EAN): 9781446249000
Издательство: Sage Publications
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Цена: 9346.00 р.
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Описание: This comprehensive second edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM).

Probabilistic Graphical Models: Principles and Techniques

Автор: Koller Daphne, Friedman Nir
Название: Probabilistic Graphical Models: Principles and Techniques
ISBN: 0262013193 ISBN-13(EAN): 9780262013192
Издательство: MIT Press
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Цена: 21161.00 р.
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Описание:

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason -- to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.

Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Structural Modeling by Example

Автор: Cuttance
Название: Structural Modeling by Example
ISBN: 0521115248 ISBN-13(EAN): 9780521115247
Издательство: Cambridge Academ
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Цена: 5069.00 р.
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Описание: Structural Modeling by Example offers a comprehensive overview of the application of structural equation models in the social and behavioural sciences and in educational research. It is devoted in roughly equal proportions to substantive issues and to methodological ones.


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