The Oxford Anthology of Statistics in Sports: Volume 1: 2000-2004: Oxford Series on Science in Sports
Editat de James Cochran, Jay Bennett, Jim Alberten Limba Engleză Paperback – 5 iul 2017
Preț: 295.70 lei
Preț vechi: 319.56 lei
-7% Nou
Puncte Express: 444
Preț estimativ în valută:
56.59€ • 59.70$ • 47.16£
56.59€ • 59.70$ • 47.16£
Carte tipărită la comandă
Livrare economică 23-28 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780198724926
ISBN-10: 0198724926
Pagini: 576
Dimensiuni: 190 x 246 x 28 mm
Greutate: 1.23 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Seria Oxford Series on Science in Sports
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198724926
Pagini: 576
Dimensiuni: 190 x 246 x 28 mm
Greutate: 1.23 kg
Editura: OUP OXFORD
Colecția OUP Oxford
Seria Oxford Series on Science in Sports
Locul publicării:Oxford, United Kingdom
Recenzii
This book would be a useful addition to any library of statistical literature to have at hand for both personal enjoyment and also for supplementing discussions in a classroom setting.
Notă biografică
James J. Cochran earned a PhD in Statistics from the University of Cincinnati in 1997. He was a founding co-chair of Statistics Without Borders and a member of the founding committee for INFORMS Pro Bono Analytics initiative. He is a Fellow of the ASA, a recipient of the ASA's Founders Award, and a recipient of the Karl E. Peace Award for outstanding statistical contributions for the betterment of society.Jay Bennett studied at Colgate University and the University of Michigan, and later obtained a Ph.D. from Temple University. He has worked and performed research in the areas of computer science, operations research, and telecommunications. He was the editor of Statistics in Sport and the co-author (with Jim Albert) of Curve Ball.Jim Albert has authored Teaching Statistics Using Baseball, and co-authored Curve Ball (with Jay Bennett) and Analyzing Baseball with R (with Max Marchi). He is a previous editor of the Quantitative Analysis of Sports. His research interests include Bayesian inference, statistics education, and statistical thinking in sports.