{"product_id":"graphical-models-in-applied-multivariate-statistics-isbn-9780470743669","title":"Graphical Models in Applied Multivariate Statistics","description":"The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists.  \u003cp\u003eGraphical 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.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e  Independence and Interaction.  \u003cp\u003eIndependence Graphs.\u003c\/p\u003e \u003cp\u003eInformation Divergence.\u003c\/p\u003e \u003cp\u003eThe Inverse Variance.\u003c\/p\u003e \u003cp\u003eGraphical Gaussian Models.\u003c\/p\u003e \u003cp\u003eGraphical Log-Linear Models.\u003c\/p\u003e \u003cp\u003eModel Selection.\u003c\/p\u003e \u003cp\u003eMethods for Sparse Tables.\u003c\/p\u003e \u003cp\u003eRegression and Graphical Chain Models.\u003c\/p\u003e \u003cp\u003eModels for Mixed Variables.\u003c\/p\u003e \u003cp\u003eDecompositions and Decomposability.\u003c\/p\u003e \u003cp\u003eAppendices.\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eAuthor Index.\u003c\/p\u003e \u003cp\u003eSubject Index.\u003c\/p\u003e  \u003cp\u003eJoe Whittaker is the author of Graphical Models in Applied Multivariate Statistics, published by Wiley.   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.  \u003c\/p\u003e\u003cp\u003eGraphical Models in Applied Multivariate Statistics\u003c\/p\u003e \u003cp\u003eJoe Whittaker\u003c\/p\u003e \u003cp\u003eDepartment of Mathematics,  University of Lancaster, UK.\u003c\/p\u003e \u003cp\u003eGraphical 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.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989308129509,"sku":"NP9780470743669","price":106.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780470743669.jpg?v=1761783608","url":"https:\/\/k12savings.com\/products\/graphical-models-in-applied-multivariate-statistics-isbn-9780470743669","provider":"K12savings","version":"1.0","type":"link"}