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Ajouter au panierhardcover. Etat : Very Good. Light edge wear. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Ajouter au panierEtat : New. In.
Edité par Apple Academic Press Inc., 2023
ISBN 10 : 1482233703 ISBN 13 : 9781482233704
Langue: anglais
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 156.
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Edition originale
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Ajouter au panierEtat : New. 2023. 1st Edition. Hardcover. . . . . .
Edité par Taylor and Francis Inc, US, 2023
ISBN 10 : 1482233703 ISBN 13 : 9781482233704
Langue: anglais
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Ajouter au panierHardback. Etat : New. This book presents a unified and up-to-date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The emphasis is on the conceptual underpinning of ROC analysis and the practical implementation in diverse scientific fields. A plethora of examples accompany the methodologic discussion using standard statistical software such as R and STATA. The book arrives after two decades of intensive growth in both the methods and the applications of ROC analysis and presents a new synthesis. The authors provide a contemporary, integrated exposition of ROC methodology for both classification and prediction and include material on multiple-class ROC. This book avoids lengthy technical exposition and provides code and datasets in each chapter. ROC Analysis for Classification and Prediction in Practice is intended for researchers and graduate students, but will also be useful for those that use ROC analysis in diverse disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology.
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Ajouter au panierEtat : New. 2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Ajouter au panierBuch. Etat : Neu. Neuware - This book will present a unified and up-to date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The book will emphasize the practical implementation of these methods using standard statistical software such as R and STATA.
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Ajouter au panierBuch. Etat : Neu. ROC Analysis for Classification and Prediction in Practice | Christos Nakas (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2023 | Chapman and Hall/CRC | EAN 9781482233704 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Edité par Taylor and Francis Inc, US, 2023
ISBN 10 : 1482233703 ISBN 13 : 9781482233704
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Ajouter au panierHardback. Etat : New. This book presents a unified and up-to-date introduction to ROC methodologies, covering both diagnosis (classification) and prediction. The emphasis is on the conceptual underpinning of ROC analysis and the practical implementation in diverse scientific fields. A plethora of examples accompany the methodologic discussion using standard statistical software such as R and STATA. The book arrives after two decades of intensive growth in both the methods and the applications of ROC analysis and presents a new synthesis. The authors provide a contemporary, integrated exposition of ROC methodology for both classification and prediction and include material on multiple-class ROC. This book avoids lengthy technical exposition and provides code and datasets in each chapter. ROC Analysis for Classification and Prediction in Practice is intended for researchers and graduate students, but will also be useful for those that use ROC analysis in diverse disciplines such as diagnostic medicine, bioinformatics, medical physics, and perception psychology.