Managerial Statistics: A Case-Based Approach, 2006 publication - Hardcover

Brett Sasrsniti; Peter Klibsnoff; Alvaro Sandroni; Boaz Moselle

9780324226478: Managerial Statistics: A Case-Based Approach, 2006 publication

Hardcover

ISBN 10: 0324226470 ISBN 13: 9780324226478

Publisher: Thomson South-Western, 2006

Product Description Discover everything you need to succeed in business statistics class. MANAGERIAL STATISTICS: A CASE-BASED APPROACH walks you through the topic using relevant examples and applications. And with numerous Harvard Business School cases and end-of-chapter review tools, you'll master the concepts quickly and easily. Learning how to use statistics and regression analysis has never been simpler. Start succeeding today with MANAGERIAL STATISTICS: A CASE-BASED APPROACH.

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About the Author:

Peter Klibanoff is currently Associate Professor of Managerial Economics and Decision Sciences with tenure at the Kellogg Graduate School of Management, Northwestern University, Evanston, Illinois. He completed his Ph.D. in economics at Massachusetts Institute of Technology. The title of his dissertation is 'Essays on Uncertainty in Economics.' He also holds a Bachelor of Arts degree in applied mathematics from Harvard University, where he graduated summa cum laude. He has had articles published in The Journal of Economic Theory, Economic Theory, Journal of Mathematical Economics, The Journal of Finance, and The Review of Economic Studies. He has presented his recent research at approximately 25 conferences and universities in both the USA and globally. He is currently a referee on the following journals: American Economic Review, Canadian Journal of Economics, Econometrica, Economic Theory, European Economic Review, Games & Economic Behavior, International Economic Review, Journal of Economic Behavior & Organization, Journal of Economic Theory, Journal of Mathematical Economics, Management Science, National Science Foundation, Quarterly Journal of Economics, RAND Journal of Economics, Review of Economic Studies, Social Choice and Welfare, & Theory and Decision. He currently holds professional memberships in the following organizations: American Economic Association, The Econometric Society, and Society for the Promotion of Economic Theory.

Alvaro Sandroni is an Associate Professor from J.L. Kellogg Graduate School of Management, Department of Managerial Economics and Decision Sciences, Northwestern University, Evanston, Illinois. Alvaro is currently an Associate Professor, Department of Economics, University of Rochester. He completed his Ph.D. in Economics at the University of Pennsylvania as well as a Ph.D. in mathematics at the Instituto de Matematica Pura e Aplicada, Brazil. He has had articles published in Econometrica, Games & Economic Behavior, International Journal of Game Theory, and Journal of Econometric Theory. Since 1998 he has received research grants from the following organizations: National Science Foundation, Bi-National Science Foundation (US-Israel), & Bergmann Memorial Research Grant. He received the following honors while attending the University of Pennsylvania: 1997 � William Polk Cary Prize in Economics for Best Ph.D. Dissertation, 1996 � Dean's Scholar, and 1995 � Hiram C. Haney Fellowship Award in Economics.

Boaz Moselle is a former Assistant Professor of Managerial Economics and Decisions Sciences at the Kellogg Graduate School of Management, Northwestern University, Evanston, Illinois. He is currently Managing Director Corporate Strategy, OFGEM (Office of Gas and Electricity Markets), London, UK..

Brett Saraniti holds a Ph.D. in Managerial Economics and Decision Sciences from the Kellogg Graduate School of Management, Northwestern University, Evanston, Illinois. He is currently an Associate Professor of Economics at Hawaii Pacific University, Honolulu, Hawaii. He spends each summer teaching as a visiting professor. He has also held visiting teaching positions at the Sasin Graduate Institute of Business, Bangkok and the Helsinki School of Economics and Business Administration. His primary teaching interests are in quantitative methods and industrial organization.

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