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Each chapter closes with references for further reading which keeps the book the size of a handy handbook containing an overview of the most important information on the topic while offering further references [for] the interested reader. The book is well structured and easy to read. The book is well written for any researcher with any background.

It is an excellent up-to-date reference book for beginning researchers and practitioners interested in using ROC curve. They explain various aspects of ROC analysis very simply, using only the necessary mathematics. Hence, the reading is easy, interesting, and bound to stimulate curiosity for further exploration of the literature. I therefore recommend it to all researchers and practitioners who work with multivariate data, especially those who are concerned with classification problems.

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For both formats the functionality available will depend on how you access the ebook via Bookshelf Online in your browser or via the Bookshelf app on your PC or mobile device. Stay on CRCPress. Preview this Book. Krzanowski, David J. Add to Wish List. Close Preview. Toggle navigation Additional Book Information. By Adelchi Azzalini. The Likelihood plays a key role in both introducing general notions of statistical theory, and in developing specific methods.

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Minimum distance estimation of the binormal ROC curve

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Enabling JavaScript in your browser will allow you to experience all the features of our site. Learn how to enable JavaScript on your browser. NOOK Book. Since ROC curves have become ubiquitous in many application areas, the various advances have been scattered across disparate articles and texts.

ROC Curves for Continuous Data 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 summary statistics.