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Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book¿s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language.
The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book¿s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language.
The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.
Inés Alegre is currently an Assistant Professor of Managerial Decision Sciences at IESE Business School. She holds a Ph.D. in Management and a Master of Research in Management from IESE, as well as an Industrial Engineering degree from the Universitat Politècnica de Catalunya, Spain.
Alberto Ibarra is currently an Assistant Professor of Decision Analysis at IPADE Business School. He holds a Ph.D. in Management from IESE Business School, an MBA from IPADE Business School and a Public Accounting degree from Universidad Autónoma de Nuevo León.
Presents a comprehensive yet accessible introduction to quantitative methods in management
Is based on a practical approach to the subject, with each lesson demonstrated in a real-world case study
Provides online data so that students can work through the case studies using Microsoft Excel and R
Offers a hands-on, interactive approach based on the experiences of real businesses
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Management |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Seiten: | 160 |
| Inhalt: |
xiii
144 S. 42 s/w Illustr. 144 p. 42 illus. |
| ISBN-13: | 9783030175566 |
| ISBN-10: | 3030175561 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Canela, Miguel Ángel
Ibarra, Alberto Alegre, Inés |
| Auflage: | 1st ed. 2019 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 235 x 155 x 9 mm |
| Von/Mit: | Miguel Ángel Canela (u. a.) |
| Erscheinungsdatum: | 14.08.2020 |
| Gewicht: | 0,254 kg |
Inés Alegre is currently an Assistant Professor of Managerial Decision Sciences at IESE Business School. She holds a Ph.D. in Management and a Master of Research in Management from IESE, as well as an Industrial Engineering degree from the Universitat Politècnica de Catalunya, Spain.
Alberto Ibarra is currently an Assistant Professor of Decision Analysis at IPADE Business School. He holds a Ph.D. in Management from IESE Business School, an MBA from IPADE Business School and a Public Accounting degree from Universidad Autónoma de Nuevo León.
Presents a comprehensive yet accessible introduction to quantitative methods in management
Is based on a practical approach to the subject, with each lesson demonstrated in a real-world case study
Provides online data so that students can work through the case studies using Microsoft Excel and R
Offers a hands-on, interactive approach based on the experiences of real businesses
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Management |
| Genre: | Wirtschaft |
| Rubrik: | Recht & Wirtschaft |
| Medium: | Taschenbuch |
| Seiten: | 160 |
| Inhalt: |
xiii
144 S. 42 s/w Illustr. 144 p. 42 illus. |
| ISBN-13: | 9783030175566 |
| ISBN-10: | 3030175561 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Canela, Miguel Ángel
Ibarra, Alberto Alegre, Inés |
| Auflage: | 1st ed. 2019 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG |
| Maße: | 235 x 155 x 9 mm |
| Von/Mit: | Miguel Ángel Canela (u. a.) |
| Erscheinungsdatum: | 14.08.2020 |
| Gewicht: | 0,254 kg |
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