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商品詳細
Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies. 2023 ed.
・ISBN 978-3-031-21482-0 paper EUR 79.99
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| 著者・編者 | McGibney, Daniel P., |
|---|---|
| シリーズ | (International Series in Operations Research & Management Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 276 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-35146＞ |
解説
Applied Linear Regression for Business Analytics with R introduces regression analysis to business students using the R programming language with a focus on illustrating and solving real-time, topical problems. Specifically, this book presents modern and relevant case studies from the business world, along with clear and concise explanations of the theory, intuition, hands-on examples, and the coding required to employ regression modeling. Each chapter includes the mathematical formulation and details of regression analysis and provides in-depth practical analysis using the R programming language.