Graphical Models in Applied Multivariate Statistics

Discover the intricate world of multivariate statistics with Graphical Models in Applied Multivariate Statistics by Joe Whittaker, published by John Wiley & Sons Inc in 2008. This comprehensive paperback, spanning 464 pages, delves into the vital interrelationships between multiple variables and the essential features of underlying conditional independence.

In this essential resource, Whittaker expertly covers key topics such as conditional independence, various types of independence graphs, Gaussian models, and critical issues in model selection, regression, and decomposition. Each concept is illustrated with numerous numerical examples and exercises, complete with solutions to enhance your understanding and application of these statistical techniques.

Whether you are a student, researcher, or professional in the field, this book is an invaluable addition to your library, providing the tools and insights needed to master applied multivariate statistics.