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ROC Curves for Continuous Data (Paperback)
Loot Price: R1,492
Discovery Miles 14 920
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ROC Curves for Continuous Data (Paperback)
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Expected to ship within 12 - 17 working days
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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 curvesThe 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. They consider the impact of covariates on ROC curves,
examine the important special problem of comparing two ROC curves,
and cover Bayesian methods for ROC analysis. Special topicsThe text
then moves on to extensions of the basic analysis to cope with more
complex situations, such as the combination of multiple ROC curves
and problems induced by the presence of more than two classes.
Focusing on design and interpretation issues, it covers missing
data, verification bias, sample size determination, the design of
ROC studies, and the choice of optimum threshold from the ROC
curve. The final chapter explores applications that not only
illustrate some of the techniques but also demonstrate the very
wide applicability of these techniques across different
disciplines. With nearly 5,000 articles published to date relating
to ROC analysis, the explosive interest in ROC curves and their
analysis will continue in the foreseeable future. Embracing this
growth of interest, this timely book will undoubtedly guide present
and future users of ROC analysis.
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