Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. strong ROC Curves for Continuous Data strong is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear understanding of how to analyze ROC curves. The fundamental theory of ROC curves The book first discusses the relationship between the ROC curve and numerous performance measures and then extends the theory into practice by describing how ROC curves are estimated. Further building on the theory, the authors present statistical tests for ROC curves and their summ ..

This book is an introduction to the principles and methodology of modern multivariate statistical analysis. It's emphasis is problem-oriented and stresses geometrical intuition in preference to algebraic manipulation. Mathematical sections that are not essential for practical understanding of the techniques are clearly indicated so that they may be skipped if necessary. Discrete and mixed variable techniques are presented as well as continuous variable techniques. New additions to this update include references, a survey of the most recent developments and a new appendix which traces developments that have taken place in the years since publication of the first ..

Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts. strong ROC Curves for Continuous Data strong is the first book solely devoted to the subject, bringing together all the relevant material to provide a clear understanding of how to analyze ROC curves. The fundamental theory of ROC curves The book first discusses the relationship between the ROC curve and numerous performance measures and then extends the theory into practice by describing how ROC curves are estimated. Further building on the theory, the authors present statistical tests for ROC curves and their summa ..

This book provides a state of the art summary on the general theme of descriptive multivariate analysis. It consists of a collection of commissioned, edited articles by an international group of leading researchers: Phipps Arabie (Rutgers University) writes on "Clustering from the Perspective of Combinatorial Data Analysis". Bernard Flury (Indiana University) includes some highly novel and previously unpublished work in "Principal Component Models for Patterned Covariance Matrices". David Edwards' (University of Novi Nordisk, Denmark) "Graphical Modelling" and the chapter on "Convergent Computation" provide thorough and useful surveys of recent research not avai ..

This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major roll in scientific and social investigations. Arranged in rough historical order, the text starts with the ideas of probability that underpin statistical methods and progresses through the developments of the nineteenth and twentieth centuries to modern concerns and solutions. Assuming only a basic level of Mathematics and with numerous examples and illustrations, this text presents a valuable resource not only to the experienced researcher but also to the student ..