Basketball data science with applications in R / Paola Zuccolotto, Marcia Manisera.
| Author/creator | Zuccolotto, Paola |
| Other author | Manisera, Marcia. |
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, an imprint of Taylor & Francis Group, [2020] |
| Description | xxiii, 219 pages : illustrations (some color) ; 24 cm. |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Chapman & Hall/CRC data science series |
| Contents | Data and basic statistical analyses -- Discovering patterns inletdata -- Finding groups in data -- Modeling relationships in data -- The R package BasketballAnalyzeR. |
| Abstract | "This book will deal with statistical analysis of basketball data, with special attention to the most recent advances. The book will be of use to statisticians and machine learning experts who want to work in the basketball field. Readers will be able to create graphs and analyses thanks to some new R functions that will be illustrated in the book. The authors focus on how these selected statistical methods and data mining algorithms can be applied in basketball to solve practical problems, with literature review and examples. Each chapter will contain one or more selected case studies, concerned with modern issues"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2019048233 |
| ISBN | 9781138600812 (hardback) |
| ISBN | 9781138600799 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |