Produktnummer:
18b7086abb4ba042239ce2a2f302854678
| Themengebiete: | 62F 62H 62G 62K 62J 62N 62P Covariance matrix Functional data big data experimental design high-dimensional data longitudinal data multivariate data network data variable selection |
|---|---|
| Veröffentlichungsdatum: | 23.05.2020 |
| EAN: | 9783030461607 |
| Sprache: | Englisch |
| Seitenzahl: | 386 |
| Produktart: | Gebunden |
| Herausgeber: | Fan, Jianqing Pan, Jianxin |
| Verlag: | Springer International Publishing |
| Untertitel: | Festschrift in Honour of Professor Kai-Tai Fang |
Produktinformationen "Contemporary Experimental Design, Multivariate Analysis and Data Mining"
The collection and analysis of data play an important role in many ?elds of science and technology, such as computational biology, quantitative ?nance, 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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