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Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies.
・ISBN 978-3-031-21479-0 hard EUR 129.99
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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, GW) |
| 出版年月 | 2023.04 |
| ページ数 | 272 pp. |
| 言語 | ENG |
| ニュース番号 | <698-326> |
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.