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Learning From Complex Datasets.
・ISBN 978-0-470-40442-3 hard US$ 115.00
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お気に入り
★★★
| 著者・編者 | McLachlan, Geoffrey J / Ng, Shu-Kay A / Wood, Ian A, |
|---|---|
| シリーズ | (Wiley Series in Computational Statistics) |
| 出版社 | (Wiley-Blackwell, UK) |
| 出版年月 | 2021 |
| ページ数 | 416 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A00-11914＞ |
解説
This book provides insight and advice on the most appropriate and effective statistical methods to employ when using large or robust data. It covers the handling of high-dimensional data and data in which there is bias in the type collected and presents applications in modern and molecular genetics to showcase the most challenging datasets. In addition, it features full-color art throughout the book to illustrate the importance of color in data understanding and interpretation and offers access to a dedicated author web site.