株式会社極東書店トップ ＞ 商品一覧 ＞ Applied Statistics : Theory and Problem Solutions with R.
商品詳細
Applied Statistics : Theory and Problem Solutions with R. 応用統計学－Rを用いた理論と問題解決
・ISBN 978-1-119-55152-2 2019 hard US$ 108.95
￥25,526.- (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。
電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-119-55158-4
| 著者・編者 | Rasch, Dieter, |
|---|---|
| 出版社 | (Wiley, US) |
| ページ数 | 512 pp. |
| 言語 | ENG |
| ニュース番号 | ＜653-372 653-P771＞ |
解説
Instructs readers on how to use methods of statistics and experimental design with R software
Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory.
Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background-taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics.
- Offers a practical over theoretical approach to the subject of applied statistics
- Provides a pre-experimental as well as post-experimental approach to applied statistics
- Features classroom tested material
- Applicable to a wide range of people working in experimental design and all empirical sciences
- Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes
Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.