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Bayesian Networks in Educational Assessment, Russell G. Almond; Robert J. Mislevy; Linda S. Ste


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Автор: Russell G. Almond; Robert J. Mislevy; Linda S. Ste
Название:  Bayesian Networks in Educational Assessment
ISBN: 9781493938285
Издательство: Springer
Классификация:


ISBN-10: 1493938282
Обложка/Формат: Paperback
Страницы: 662
Вес: 0.96 кг.
Дата издания: 05.10.2016
Серия: Statistics for Social and Behavioral Sciences
Язык: English
Издание: Softcover reprint of
Иллюстрации: 95 tables, black and white; 87 illustrations, color; 68 illustrations, black and white; xxxiii, 662 p. 155 illus., 87 illus. in color.
Размер: 153 x 234 x 42
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction.- An Introduction to Evidence-Centered Design.- Bayesian Probability and Statistics: a review.- Basic graph theory and graphical models.- Efficient calculations.- Some Example Networks.- Explanation and Test Construction.- Parameters for Bayesian Network Models.- Learning in Models with Fixed Structure.- Critiquing and Learning Model Structure.- An Illustrative Example.- The Conceptual Assessment Framework.- The Evidence Accumulation Process.- The Biomass Measurement Model.- The Future of Bayesian Networks in Educational Assessment.- Bayesian Network Resources.- References.

Innovations in Bayesian Networks

Автор: Dawn E. Holmes
Название: Innovations in Bayesian Networks
ISBN: 3642098754 ISBN-13(EAN): 9783642098758
Издательство: Springer
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Цена: 174130.00 T
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Описание: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

Innovations in Bayesian Networks

Автор: Dawn E. Holmes
Название: Innovations in Bayesian Networks
ISBN: 3540850651 ISBN-13(EAN): 9783540850656
Издательство: Springer
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Цена: 191560.00 T
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Описание: Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume the editors have brought together contributions from some of the most prestigious researchers in this field.

Bayesian Analysis with Stata

Автор: Thompson John
Название: Bayesian Analysis with Stata
ISBN: 1597181412 ISBN-13(EAN): 9781597181419
Издательство: Taylor&Francis
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Цена: 57150.00 T
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Описание:

Bayesian Analysis with Stata is written for anyone interested in applying Bayesian methods to real data easily. The book shows how modern analyses based on Markov chain Monte Carlo (MCMC) methods are implemented in Stata both directly and by passing Stata datasets to OpenBUGS or WinBUGS for computation, allowing Stata's data management and graphing capability to be used with OpenBUGS/WinBUGS speed and reliability.

The book emphasizes practical data analysis from the Bayesian perspective, and hence covers the selection of realistic priors, computational efficiency and speed, the assessment of convergence, the evaluation of models, and the presentation of the results. Every topic is illustrated in detail using real-life examples, mostly drawn from medical research.

The book takes great care in introducing concepts and coding tools incrementally so that there are no steep patches or discontinuities in the learning curve. The book's content helps the user see exactly what computations are done for simple standard models and shows the user how those computations are implemented. Understanding these concepts is important for users because Bayesian analysis lends itself to custom or very complex models, and users must be able to code these themselves.


Bayesian networks and influence diagrams: a guide to construction and analysis

Автор: Kjarulff, Uffe B. Madsen, Anders L.
Название: Bayesian networks and influence diagrams: a guide to construction and analysis
ISBN: 1461451035 ISBN-13(EAN): 9781461451037
Издательство: Springer
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Цена: 111790.00 T
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Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Автор: Uffe B. Kj?rulff; Anders L. Madsen
Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
ISBN: 1493900293 ISBN-13(EAN): 9781493900299
Издательство: Springer
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Цена: 121110.00 T
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Описание: In a Second Edition offering six new sections, new examples, tables, figures and more, this book shows how to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. Includes more than 140 examples.

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Автор: Uffe B. Kj?rulff; Anders L. Madsen
Название: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
ISBN: 1441925465 ISBN-13(EAN): 9781441925466
Издательство: Springer
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Цена: 71690.00 T
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Описание: This book provides a comprehensive guide for practitioners who wish to understand, construct, and analyze intelligent systems for decision support based on probabilistic networks. The theory and methods presented are illustrated through more than 140 examples.

Bayesian Networks in Educational Assessment

Автор: Russell G. Almond; Robert J. Mislevy; Linda S. Ste
Название: Bayesian Networks in Educational Assessment
ISBN: 149392124X ISBN-13(EAN): 9781493921249
Издательство: Springer
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Цена: 83850.00 T
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Описание: Bayesian Networks in Educational Assessment

Statistical Modeling of the National Assessment of Educational Progress

Автор: Murray Aitkin; Irit Aitkin
Название: Statistical Modeling of the National Assessment of Educational Progress
ISBN: 146142822X ISBN-13(EAN): 9781461428220
Издательство: Springer
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Цена: 102480.00 T
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Описание: This book details a fully integrated model that incorporates both the survey design and the psychometric model by extending the traditional psychometric model form to accommodate the design structure while allowing for student, teacher, and school covariates.

Modeling and Reasoning with Bayesian Networks

Автор: Darwiche
Название: Modeling and Reasoning with Bayesian Networks
ISBN: 1107678420 ISBN-13(EAN): 9781107678422
Издательство: Cambridge Academ
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Цена: 65470.00 T
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Описание: This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis.

Bayesian networks in r

Автор: Nagarajan, Radhakrishnan Scutari, Marco Lebre, Sophie
Название: Bayesian networks in r
ISBN: 1461464455 ISBN-13(EAN): 9781461464457
Издательство: Springer
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Цена: 40050.00 T
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Описание: This book introduces readers essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. Each chapter includes exercises with solutions.

Advanced Methodologies for Bayesian Networks

Автор: Joe Suzuki; Maomi Ueno
Название: Advanced Methodologies for Bayesian Networks
ISBN: 3319283782 ISBN-13(EAN): 9783319283784
Издательство: Springer
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Цена: 44720.00 T
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Описание: This volume constitutes the refereed proceedings of theSecond International Workshop on Advanced Methodologies for Bayesian Networks,AMBN 2015, held in Yokohama, Japan, in November 2015. The 18 revised full papers and 6 invited abstractspresented were carefully reviewed and selected from numerous submissions.

Advances in Bayesian Networks

Автор: Jos? A. G?mez; Serafin Moral; Antonio Salmer?n Cer
Название: Advances in Bayesian Networks
ISBN: 364205885X ISBN-13(EAN): 9783642058851
Издательство: Springer
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Цена: 158380.00 T
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