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Managerial Statistics: A Case-Based Approach (with CD-ROM and Harvard Cases) Hardcover – November 7, 2005

ISBN-13: 978-0324226454 ISBN-10: 0324226454 Edition: 1st

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Editorial Reviews

Review

1. Introduction to Probability Distributions: The Double E Case. 2. Hypothesis Testing: The Consumer Packaging Case. 3. Introduction to Regression: The Autorama Case. 4. Using Regression: The CAPM and Newspaper Cases. Case Insert 1 The Refrigerator Pricing Case: Introduction to Multiple Regression. 5. Dummy and Slope-Dummy Variables: The California Strawberries and CEO Seek Cases. 6. Graphical Analysis, Non-Linear Regression and Spurious Correlation: The Forestier Wine Case, Snowfall and Unemployment. 7. Multiple Regression, Multicollinearity and the Generalized F-test: The Hot Dog Case. Case Insert 2 Colonial Broadcasting: Multiple Regression and Omitted Variable Bias. 8. Non-Linear Regression, Logarithms and Heteroskedasticity: An Advertising Example, The Hot Dog Case Revisited. 9. Time and Seasonality in Multiple Regression: The Dada Soda and Harmon Foods Cases. Case Insert 3 Nopane Advertising Case: Multiple Regression and Interaction Variables. Case Insert 4 The Wrigley Case: Multiple Regression and Modeling. Appendices. A Kstat Mini-Manual. Prediction Intervals. Correlation Review. Simple Properties Of Logarithms. --This text refers to the Paperback edition.

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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Product Details

  • Hardcover: 256 pages
  • Publisher: Cengage Learning; 1 edition (November 7, 2005)
  • Language: English
  • ISBN-10: 0324226454
  • ISBN-13: 978-0324226454
  • Product Dimensions: 0.2 x 8 x 10 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #1,077,458 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

3 of 3 people found the following review helpful By M. Virmani on March 29, 2010
Format: Hardcover Verified Purchase
I come from an engineering background but used this book for a statistics class at Kellogg. For anyone who understands or wants to understand the mathematical underpinning of statistics, this is not the right book. However, for a person looking to understand the application of statistics to decision making and analyzing data, this is a fantastic book. It comes with a CD that contains an excel sheet with embedded macros (K-Stat, or Kellogg Statistics) that cover most of the commonly used statistical tools. Since it is all in Excel, it simply helps avoid purchasing an expensive software such as Minitab.

Overall, a great book and an excellent software.
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2 of 2 people found the following review helpful By One Mission on December 26, 2008
Format: Hardcover
Required text for Kellogg MBA students, I was impressed with the simplicity with which many concepts were communicated using examples and case studies. This book is particularly good for understanding linear regression. It clearly presents the tools & techniques to follow to obtain a sound regression model. The accompanying HBS cases are a great supplement. Overall a well written and useful intermediate level statistics book!
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2 of 2 people found the following review helpful By GS on March 20, 2007
Format: Hardcover
Crisp and well written. Powerful concepts explained very well. A must for managers to understand basic stats.

I thought I'll use it for my statistics course and sell it as used later... I decided to keep it. Good, handy reference.
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By Joseph A. Dobbert on September 27, 2013
Format: Hardcover Verified Purchase
I know that the point of a graduate program is to learn how to learn, but this textbook takes it too far. There are almost no examples so, if you don't remember the precise formulas, you're stuck. The section on confidence intervals were better covered by Google-ing it than reading the text.
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0 of 1 people found the following review helpful By Business Maven on March 25, 2008
Format: Hardcover
This is probably the thinnest statistics book you would ever see but yet it handles all the concepts in a clear and concise fashion. It is useful to own one
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