Andere Kunden interessierten sich auch für
![Smoothing of Multivariate Data]( "Smoothing of Multivariate Data")
Smoothing of Multivariate Data182,99 €![Computational Statistics 2e]( "Computational Statistics 2e")
Computational Statistics 2e144,99 €![Regression Graphics]( "Regression Graphics")
Regression Graphics214,99 €![Data Analysis]( "Data Analysis")
Data Analysis149,99 €![Problem Solving and Data Analy]( "Problem Solving and Data Analy")
Problem Solving and Data Analy99,99 €![Robust Regression and Outlier Detection]( "Robust Regression and Outlier Detection")
Robust Regression and Outlier Detection178,99 €![Understanding Biplots]( "Understanding Biplots")
Understanding Biplots144,99 €
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.
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.