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Introduction to Probability and Statistics for Data Science : with R. データサイエンスのためのRを用いた確率と統計学入門
・ISBN 978-1-107-11304-6 hard GB£ 156.00
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お気に入り
★★★
・ISBN 978-1-009-56835-7 paper GB£ 71.00
￥22,492.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
| 著者・編者 | Rigdon, Steven E. / Fricker, Ronald D., Jr. et al., |
|---|---|
| 出版社 | (Cambridge U. Pr., UK) |
| 出版年月 | 2024.08 |
| ページ数 | 828 pp. |
| 言語 | ENG |
| ニュース番号 | ＜731-140＞ |
解説
Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, engineering, and physical science programs. It teaches students to understand, use, and build on modern statistical techniques for complex problems. The authors develop the methods from both an intuitive and mathematical angle, illustrating with simple examples how and why the methods work. More complicated examples, many of which incorporate data and code in R, show how the method is used in practice. Through this guidance, students get the big picture about how statistics works and can be applied. This text covers more modern topics such as regression trees, large scale hypothesis testing, bootstrapping, MCMC, time series, and fewer theoretical topics like the Cramer-Rao lower bound and the Rao-Blackwell theorem. It features more than 250 high-quality figures, 180 of which involve actual data. Data and R are code available on our website so that students can reproduce the examples and do hands-on exercises.