Kniha Graphical Models in Applied Multivariate Statistics Whittaker

Graphical Models in Applied Multivariate Statistics

Autor: Whittaker
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
1 827
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticia...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2008
Stránek
462
EAN
9780470743669
ISBN
0470743662
Enbook ID
04380210
Hmotnost
624
Rozměry
153 x 229 x 26

Kompletní popis

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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