Graphical models in applied multivariate statistics / Joe Whittaker.
By: Whittaker, J. (Joe).
Material type: BookPublisher: Chichester : Wiley, 1990Description: xiv, 448 p. : ill ; 24 cm. + pbk.ISBN: 0471917508.Subject(s): Multivariate analysisDDC classification: 519.535Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
General Lending | MTU Bishopstown Library Lending | 519.535 (Browse shelf(Opens below)) | 1 | Available | 00014963 |
Enhanced descriptions from Syndetics:
Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. Following the theorem-proof-remarks format, this introduction to the use of graphical models in the description and modeling of multivariate systems covers conditional independence, several types of independence graphs, Gaussian models, issues in model selection, regression and decomposition. Many numerical examples and exercises with solutions are included.
Includes bibliographical references (pages 426-435) and indexes.
Introduction -- Independence and interaction -- Independence graphs -- Information divergence -- The inverse variance -- Graphical Gaussian models -- Graphical log-linear models -- Model selection -- Methods for sparse tables -- Regression and graphical chain models -- Models for mixed variables -- Decompositions and decomposability.
Table of contents provided by Syndetics
- Independence and Interaction
- Independence Graphs
- Information Divergence
- The Inverse Variance
- Graphical Gaussian Models
- Graphical Log-Linear Models
- Model Selection
- Methods for Sparse Tables
- Regression and Graphical Chain Models
- Models for Mixed Variables
- Decompositions and Decomposability
- Appendices
- References
- Author Index
- Subject Index
Author notes provided by Syndetics
J. Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.