Graphical Models in Applied Multivariate Statistics

Name: Graphical Models in Applied Multivariate Statistics
Brand: John Wiley & Sons Inc
SKU: 9780470743669
Price: 420.17 RON
Availability: InStock

Autor: Whittaker

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Legare: Carte broșată

Editura: John Wiley & Sons Inc

Disponibilitate: În depozitul extern

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420.17 lei

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticia...

Informații despre carte

Autor

Whittaker

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2008

Pagini

462

EAN

9780470743669

ISBN

0470743662

Enbook ID

04380210

Editura

John Wiley & Sons Inc

Greutate

624

Dimensiuni

153 x 229 x 26

Descriere completă

The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.§Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. 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.§This book is aimed at students who require a course on applied multivariate statistics unified by the concept of conditional independence and researchers concerned with applying graphical modelling techniques.The Wiley Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians and scientists.§Graphical Models in Applied Multivariate Statistics§Joe Whittaker§Department of Mathematics, University of Lancaster, UK.§Graphical models--a subset of log-linear models--reveal the interrelationships between multiple variables and features of the underlying conditional independence. 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.§This book is aimed at students who require a course on applied multivariate statistics unified by the concept of conditional independence and researchers concerned with applying graphical modelling techniques.

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