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Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang

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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Detalles Bibliográficos
Autores principales: Fan, Jianqing, Pan, Jianxin
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-46161-4
http://cds.cern.ch/record/2720412
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author Fan, Jianqing
Pan, Jianxin
author_facet Fan, Jianqing
Pan, Jianxin
author_sort Fan, Jianqing
collection CERN
description 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.
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spelling cern-27204122021-04-21T18:07:47Zdoi:10.1007/978-3-030-46161-4http://cds.cern.ch/record/2720412engFan, JianqingPan, JianxinContemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai FangMathematical Physics and MathematicsThe 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.Springeroai:cds.cern.ch:27204122020
spellingShingle Mathematical Physics and Mathematics
Fan, Jianqing
Pan, Jianxin
Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang
title Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang
title_full Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang
title_fullStr Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang
title_full_unstemmed Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang
title_short Contemporary experimental design, multivariate analysis and data mining: festschrift in honour of Professor Kai-Tai Fang
title_sort contemporary experimental design, multivariate analysis and data mining: festschrift in honour of professor kai-tai fang
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-46161-4
http://cds.cern.ch/record/2720412
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