Triple Double: Using Statistics to Settle NBA Debates (SpringerBriefs in Statistics) - Softcover

Über die Autorin bzw. den Autor

​Dr. Arilova (Lova) Randrianasolo is an assistant professor of marketing at Butler University’s Lacy School of Business. He holds a Bachelor's degree in international business and entrepreneurship from Saint Louis University, a Master’s degree in music business from New York University, and a Doctorate in international business and marketing from Saint Louis University. Prior to this position at Butler University, Dr. Lova was an assistant professor of marketing at John Carroll University’s Boler School of Business. Dr. Randrianasolo’s research has been published in outlets such as Journal of Brand Management, Journal of Global Marketing, Journal of International Marketing, Journal of International Consumer Marketing, Journal of Consumer Marketing, and Madagascar Conservation & Development. He has presented original research at international conferences hosted by the Academy of International Business, the American Marketing Association, and the Academy of Marketing Science. Finally, Dr. Randrianasolo has experience holding talks and seminars in developing countries. For example, in July 2019, he presented a talk at the US Embassy in Antananarivo, Madagascar as well as held a seminar focused on non-profit marketing for non-profit organizations in Antananarivo, Madagascar.

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This book provides empirical evidence and statistical analyses to uncover answers to some of the most debated questions in the NBA. The sports world lives and breathes off of debates on who deserves an MVP award, and which athletes should be considered all-stars. This book provides some statistics-backed perspectives to some of these debates that are specific to the NBA.

Was LeBron snubbed of an MVP in the 2010-2011 season? Why has the G.O.A.T. debate turned into LeBron vs. Jordan….Did Kobe get overlooked? How come Klay Thompson didn’t get All-NBA honors in the 2018-2019 season? This book explores these questions and many more with empirical evidence.