Contemporary Experimental Design, Multivariate Analysis and Data Mining : Festschrift in Honour of Professor Kai-Tai Fang / edited by Jianqing Fan, Jianxin Pan.

The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easil...

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Bibliographic Details
Other Authors: Fan, Jianqing (Editor), Pan, Jianxin (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint : Springer, 2020.
Edition:1st ed. 2020.
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Online Access:Click for online access
Description
Summary:The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang's 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang's numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.
Physical Description:1 online resource (XVII, 386 pages 42 illustrations, 30 illustrations in color) : online resource
Bibliography:Includes bibliographical references.
ISBN:9783030461614
3030461610