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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
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
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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