The definitive resource for ensuring diagnostic tests meet the highest standards of statistical rigor and clinical effectivenessStatistical Methods in Diagnostic Medicine, 3rd Edition by Xiao-Hua Zhou, Jiarui Sun, Gene A. Pennello, Nancy A. Obuchowski and Donna K. McClish delivers the most comprehensive treatment of statistical methodologies for diagnostic test evaluation available today. The authors of the 2nd Edition – Peking University PKU Distinguished...

Ensemble methods that train multiple learners and then combine them to use, with Boosting and Bagging as representatives, are well-known machine learning approaches. It has become common sense that an ensemble is usually significantly more accurate than a single learner, and ensemble methods have already achieved great success in various real-world tasks.Twelve years have passed since the publication of the first edition of the book in 2012 (Japanese and Chinese versions published ...

Praise for the First Edition" . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATHA new edition of the cutting-edge guide to diagnostic tests in medical researchIn recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition ...

Applied Missing Data Analysis in the Health SciencesA modern and practical guide to the essential concepts and ideas for analyzing data with missing observations in the field of biostatisticsWith an emphasis on hands-on applications, Applied Missing Data Analysis in the Health Sciences outlines the various statistical methods for the analysis of missing data. The authors acknowledge the limitations of established techniques and pro...

Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic pri...

This book provides a state-of-the-art review of the applications of electrospun nanofibers for piezoelectric and triboelectric energy harvesting. It comprises eight chapters and covers the basis of electrospinning, nanofibers, piezoelectricity, triboelectricity and the emerging research on the use of nanofibers in energy harvesting devices. It is a key reference for graduate students, researchers and scientists in the fields of energy harvesting, sensors or nanofibers, and it will benefit ...

This book presents the latest results on predictive control of networked systems, where communication constraints (e.g., network-induced delays and packet dropouts) and cyber attacks (e.g., deception attacks and denial-of-service attacks) are considered. For the former, it proposes several networked predictive control (NPC) methods based on input-output models and state-space models respectively. For the latter, it designs secure NPC schemes from the perspectives of information security an...

For the past several decades, China has been transforming itself from an isolated and backward agrarian society into an economic superpower with global interests and responsibilities. Over 300 million Chinese have been lifted out of poverty and China now enjoys the fastest growing and third largest economy on earth. Not surprisingly, numerous changes in China's foreign relations have accompanied the astounding transformations in the country's domestic politics and society. Perhaps most sur...

This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasi...

This book combines empirical research and theoretical discussions to demonstrate that the civil society paradigm as a western concept could be applicable to the study of state-society relations in contemporary China. However, the growth of Chinese civil society does not necessarily present an adversarial or confrontational relationship between state and society, but rather it is a cooperative relationship based on common interests and mutual benefits between industrial associations and loc...

It is well known that the Soviet Union strongly influenced China in the early 1950s, since China committed itself both to the Sino-Soviet alliance and to the Soviet model of building socialism. What is less well known is that Chinese proved receptive not only to the Soviet economic model but also to the emulation of the Soviet Union in realms such as those of ideology, education, science, and culture. In this book an international group of scholars examines China's acceptance and ultimate ...

This book discusses key issues in the planning and operation of large-scale integrated energy systems (LSIES). It establishes individual-based models for LSIES and develops multi-objective optimization algorithms and multi-attribute decision making support systems, which are applied to the planning and optimal operation of LSIES. It is a valuable reference work for researchers, students and engineers who are interested in energy systems, operation research and decision theory.