Introduction to Graphical Modelling

  • David Edwards

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xii
  2. David Edwards
    Pages 1-12
  3. David Edwards
    Pages 13-34
  4. David Edwards
    Pages 35-59
  5. David Edwards
    Pages 61-102
  6. David Edwards
    Pages 103-135
  7. David Edwards
    Pages 137-167
  8. David Edwards
    Pages 169-207
  9. Back Matter
    Pages 209-275

About this book


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.


Conditioning Graphical models Independence development form graphs model modeling modelling personal computer presentation selection software testing variable

Authors and affiliations

  • David Edwards
    • 1
  1. 1.Statistics DepartmentNovo Nordisk A/SBagsvaerdDenmark

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 1995
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4684-0483-8
  • Online ISBN 978-1-4684-0481-4
  • Series Print ISSN 1431-875X
  • Series Online ISSN 2197-4136
  • Buy this book on publisher's site
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