Paperback. This handbook will provide both overviews of statistical methods in sports and in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook will be organized by major sport (baseball, football, hockey, basketball, and soccer) followed by a section on other sports and general statistical design and analysis issues that are common to all sports. This handbook has the potential to become the standard reference for obtaining the necessary background to conduct serious statistical analyses for sports applications and to appreciate scholarly work in this expanding area. This handbook provides overviews of statistical methods in sports, in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook is organized by major sport followed by a section on other sports and general statistical design and analysis issues that are common to all sports. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verk�ufers 9780367331016

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Bibliografische Details

Titel: Handbook of Statistical Methods and Analyses in Sports (Paperback)
Verlag: Taylor & Francis Ltd, London
Erscheinungsjahr: 2019
Sprache: Englisch
ISBN-10: 0367331012
ISBN-13: 9780367331016
Einband: Paperback
Zustand: new

�ber diesen Titel

Inhaltsangabe

This handbook provides overviews of statistical methods in sports, in-depth treatment of critical problems and challenges confronting statistical research in sports. The material in the handbook is organized by major sport followed by a section on other sports and general statistical design and analysis issues that are common to all sports.

�ber die Autorin bzw. den Autor

Jim Albert is Professor of Mathematics and Statistics at Bowling Green State University; Mark E. Glickman is Senior Lecturer on Statistics at Harvard University; Ruud H. Koning is Professor of Sports Economics at the University of Groningen; and Tim Swartz is Professor of Statistics and Actuarial Science at Simon Fraser University.

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