Basketball Data Science : With Applications in R

Marica Manisera

ISBN 10: 1138600792 / ISBN 13: 9781138600799

Editore: Chapman And Hall/CRC, 2020

Riguardo questo articolo

nach der Bestellung gedruckt Neuware - Printed after ordering - Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers.Features:One of the first books to provide statistical and data mining methods for the growing field of analytics in basketballPresents tools for modelling graphs and figures to visualize the dataIncludes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test caseProvides the source code and data so readers can do their own analyses on NBA teams and players.

Codice articolo 9781138600799

Dati bibliografici

• Titolo: Basketball Data Science : With Applications in R
• Editore: Chapman And Hall/CRC
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1138600792
• ISBN 13: 9781138600799
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 216 L x 140 A x 14 P (millimetri) 216 millimetri di larghezza per 140 millimetri di altezza per 14 millimetri di profondità
• Peso: 313 grammi

Descrizione articolo

Riassunto

Descrizione del prodotto

Informazioni sull?autore

Paola Zuccolotto and Marica Manisera are, respectively, Full and Associate Professor of Statistics at the University of Brescia. Paola Zuccolotto is the scientific director of the Big & Open Data Innovation Laboratory (BODaI-Lab), where she coordinates, together with Marica Manisera, the international project Big Data Analytics in Sports (BDsports).

They carry out scientific research activity in the field of Statistical Science, both with a methodological and applied approach. They authored/co-authored several scientific articles in international journals and books, participated to many national and international conferences, also as organizers of specialized sessions, often on the topic of Sports Analytics. They regularly act as scientific reviewers for the world’s most prestigious journals in the field of Statistics.

Paola Zuccolotto is a member of the Editorial Advisory Board of the Journal of Sports Sciences, while Marica Manisera is Associate Editor of the Journal of Sports Analytics; both of them are guest co-editors of special issues of international journals on Statistics in Sports. The International Statistical Institute (ISI) delegated them the task of revitalizing its Special Interest Group (SIG) on Sports Statistics. Marica Manisera is the Chair of the renewed ISI SIG on Sport.

Both of them teach undergraduate and graduate courses in the field of Statistics and are responsible for the scientific area dedicated to Sport Analytics at the PhD “Analytics for Economics and Management” of the University of Brescia. They also teach courses and seminars on Sports Analytics in University Masters on Sports Engineering and specialized training projects devoted to people operating in the sports world. They supervise students’ internships, final reports and master’s theses on the subject of Statistics, often with applications to sport data. They also work in collaboration with high-school teachers, creating experimental educational projects to bring students closer to quantitative subjects through Sport Analytics.