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Introduction to Graphical Modelling

  • Textbook
  • © 1995

Overview

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

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Table of contents (7 chapters)

Keywords

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.

Authors and Affiliations

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

    David Edwards

Bibliographic Information

  • Book Title: Introduction to Graphical Modelling

  • Authors: David Edwards

  • Series Title: Springer Texts in Statistics

  • DOI: https://doi.org/10.1007/978-1-4684-0481-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York 1995

  • eBook ISBN: 978-1-4684-0481-4Published: 12 June 2019

  • Series ISSN: 1431-875X

  • Series E-ISSN: 2197-4136

  • Edition Number: 1

  • Number of Pages: XII, 275

  • Topics: Probability Theory and Stochastic Processes

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