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Springer Texts in Statistics
cover

Introduction to Graphical Modelling

Authors: Edwards, David

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eBook 67,82 €
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  • ISBN 978-1-4684-0481-4
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About this Textbook

Graphical modelling is a form of multivariate analysis that uses graphs to represent models. They enable concise representations of associational and casual relations between variables under study. This textbook provides an introduction to graphical models whose emphasis is on its applications and on the practicalities rather than a formal development. With the book comes a diskette containing a student version of MIM - a popular graphical modelling software package for the PC. Following an introductory chapter which sets the scene and describes some of the basic ideas of graphical modelling, subsequent chapters describe particular families of models including log-linear models, Gaussian models, and mixed models for discrete and continuous data. Further chapters cover hypothesis testing for mixed models and discuss issues of model selection and more advanced topics.

Table of contents (7 chapters)

Table of contents (7 chapters)
  • Introduction

    Pages 1-12

    Edwards, David

  • Discrete Models

    Pages 13-34

    Edwards, David

  • Continuous Models

    Pages 35-59

    Edwards, David

  • Mixed Models

    Pages 61-102

    Edwards, David

  • Hypothesis Testing

    Pages 103-135

    Edwards, David

Buy this book

eBook 67,82 €
price for Spain (gross)
  • ISBN 978-1-4684-0481-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Graphical Modelling
Authors
Series Title
Springer Texts in Statistics
Copyright
1995
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-1-4684-0481-4
DOI
10.1007/978-1-4684-0481-4
Series ISSN
1431-875X
Edition Number
1
Number of Pages
XII, 275
Topics