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Introduction to Probabilistic and Statistical Methods with Examples in R. 2020 ed..
・ISBN 978-3-030-45798-3 hard EUR 99.99
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お気に入り
★★★
| 著者・編者 | Stapor, Katarzyna, |
|---|---|
| シリーズ | Intelligent Systems Reference Library |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 157 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-14569＞ |
解説
This book strikes a healthy balance between theory and applications, ensuring that it doesn't offer a set of tools with no mathematical roots. It is intended as a comprehensive and largely self-contained introduction to probability and statistics for university students from various faculties, with accompanying implementations of some rudimentary statistical techniques in the language R.
The content is divided into three basic parts: the first includes elements of probability theory, the second introduces readers to the basics of descriptive and inferential statistics (estimation, hypothesis testing), and the third presents the elements of correlation and linear regression analysis. Thanks to examples showing how to approach real-world problems using statistics, readers will acquire stronger analytical thinking skills, which are essential for analysts and data scientists alike.