Introduction to Graphical Modelling

1. Front Matter

   Pages i-xii

   PDF

2. Introduction

   • David Edwards

   Pages 1-12

3. Discrete Models

   • David Edwards

   Pages 13-34

4. Continuous Models

   • David Edwards

   Pages 35-59

5. Mixed Models

   • David Edwards

   Pages 61-102

6. Hypothesis Testing

   • David Edwards

   Pages 103-135

7. Model Selection and Criticism

   • David Edwards

   Pages 137-167

8. Further Topics

   • David Edwards

   Pages 169-207

9. Back Matter

   Pages 209-275

   PDF

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

• Statistics Department, Novo Nordisk A/S, Bagsvaerd, Denmark

  David Edwards

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