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Contemporary Experimental Design, Multivariate Analysis and Data Mining

Contemporary Experimental Design, Multivariate Analysis and Data Mining

Autorzy
Wydawnictwo Springer Nature
Data wydania 22/05/2020
Wydanie Pierwsze
Forma publikacji eBook: Reflowable eTextbook (ePub)
Język angielski
ISBN 9783030461614
Kategorie Medycyna, Prawdopodobieństwo i statystyka, Bazy danych, Wydobywanie danych
Produkt dostępny on-line
Typ przesyłki: wysyłka kodu na adres e-mail
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Opis książki

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. 

Contemporary Experimental Design, Multivariate Analysis and Data Mining

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