ROC Curves for Continuous Data pdf

大卫·汉德 是一位著名的英国统计学家，1950 年 6 月 30 日出生于英国彼得伯勒。 他担任伦敦帝国理工学院统计学教授。 多年来，他已成为统计和数据分析领域的领军人物。

学术和专业成就：

• 伦敦帝国理工学院数学名誉教授和高级研究员。
• 曾任伦敦帝国理工学院统计学系主任。
• 英国科学院院士和精算师协会荣誉院士。
• 曾两次担任英国皇家统计学会主席。
• 担任英国统计局非执行董事八年。
• 欧洲统计咨询委员会成员。
• 担任国家统计学家专家用户咨询委员会和国家统计局应用数据伦理中心咨询委员会主席。
• 曾任帝国理工学院数据科学研究所研究委员会主席和英国行政数据研究网络主席。
• 担任元盛资本管理公司首席科学顾问八年。

作者身份：

大卫·汉德 是一位多产作家，拥有大量著名作品，包括：

• 超过 300 篇科学论文。
• 32本书涵盖数据分析和统计的各个方面。
• 他最近的著作包括《艾米的运气》、《暗数据》、《从 GDP 到可持续福祉》、《测量：非常简短的介绍》和《信息生成：数据如何统治我们的世界》。

奖项和认可：

• 2002年荣获英国皇家统计学会盖伊奖章。
• 2012年，他和他的研究小组因对信贷行业的贡献而获得了信贷催收和风险奖。
• 2016年荣获乔治博克斯奖章。
• 2019年荣获国际船级社联合会研究奖章。
• 2013年，他因其在研究和创新方面的杰出贡献而被任命为OBE（大英帝国勋章军官）。

大卫·汉德 卓越的职业生涯和贡献在统计学领域留下了不可磨灭的印记，使他成为数据分析和统计科学领域受人尊敬的权威和多产的作家。

ROC Curves for Continuous Data pdf 大卫·汉德

In the realm of data analysis, ROC (Receiver Operating Characteristic) curves have become an indispensable tool across various application areas. However, the knowledge and advancements related to ROC curves have often been scattered across different articles and texts, making it challenging for practitioners to gain a comprehensive understanding.

A Definitive Resource:

"ROC Curves for Continuous Data" stands out as the first book dedicated entirely to this subject. It serves as a unifying resource, consolidating all the pertinent material to provide a clear and coherent grasp of ROC curve analysis.

From Theory to Practice:

The book commences by elucidating the fundamental theory of ROC curves. It explores the relationship between ROC curves and various performance measures, bridging the gap between theory and practical application. The authors delve into the estimation of ROC curves and introduce statistical tests and summary statistics for their analysis.

Expanding Horizons:

As the book progresses, it extends the scope to encompass more complex scenarios. This includes dealing with multiple ROC curves, challenges arising from the presence of more than two classes, and the impact of covariates on ROC curves.

Design and Interpretation:

Focusing on design and interpretation issues, the book addresses critical topics such as missing data, verification bias, sample size determination, the planning of ROC studies, and the selection of optimal thresholds from ROC curves.

Wide-Ranging Applications:

In the final chapter, the book showcases real-world applications that not only illustrate the techniques but also underscore the broad applicability of ROC curve analysis across diverse disciplines.

Guiding Present and Future Users:

With the ever-growing interest in ROC analysis, driven by nearly 5,000 published articles on the subject, "ROC Curves for Continuous Data" emerges as a timely and indispensable guide. Authored by David J. Hand, this comprehensive resource will undoubtedly assist both current and future practitioners in mastering the intricacies of ROC curve analysis, making it an invaluable addition to the field of data analysis.