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Statistics for Business and Financial Economics
 
 
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Statistics for Business and Financial Economics [Hardcover]

Cheng-Few Lee (Author), John C. Lee (Author), Alice C. Lee (Author)
4.7 out of 5 stars  See all reviews (3 customer reviews)

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Book Description

9810234856 978-9810234850 December 1999 2 Sub
Designed for upper-level undergraduates, MBA and other graduate students, this book integrates various statistical techniques with concepts from business, economics and finance, and demonstrates the power of statistical methods in the real world of business. This edition places more emphasis on finance, economics and accounting concepts with updated sample data. It contains cases, examples, illustrations and real-life applications

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Product Details

  • Hardcover: 1112 pages
  • Publisher: World Scientific Pub Co Inc; 2 Sub edition (December 1999)
  • Language: English
  • ISBN-10: 9810234856
  • ISBN-13: 978-9810234850
  • Product Dimensions: 9.5 x 7.7 x 2.2 inches
  • Shipping Weight: 4.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #2,339,023 in Books (See Top 100 in Books)

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Average Customer Review
4.7 out of 5 stars (3 customer reviews)
 
 
 
 
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2 of 2 people found the following review helpful:
5.0 out of 5 stars Excellent for MSF, MBA and Undergraduate Students, June 5, 2004
By A Customer
This review is from: Statistics for Business and Financial Economics (Hardcover)
I used the first edition this book teaching financial econometrics at a university in Boston. The text is an excellent beginning book in statistics at the undergraduate and the MBA and MSF levels.

For my advanced students I covered the chapters on analysis of variance and chi-square tests, simple regression analysis and correlation coefficent, multiple regression analysis, other topics in applied regression analysis, nonparametric statistics and time series analysis including forecasting.

The statistical theories showed the mathematical derivations, often in appendices, yet included easy to follow numerical examples which students appreciated very much. The first edition was one of the first statistics books with particular attention paid to appllications using corporate finance, investment and banking data.

The only shortcomings dealt with typographical errors found in several places, and solution errors in the accompanying instructors' manual.

Overall, an excellent statistics book for the first-timer and a worthy addition to the library of a specialist, especially one with a financial perspective.

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5.0 out of 5 stars It's a good text book., September 23, 2008
This review is from: Statistics for Business and Financial Economics (Hardcover)
The authors do a very good job for writing this book, especially for some students who don't really have mathematical background. It's very easy to understand what is the authors purpose. I recommend this book.
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1 of 3 people found the following review helpful:
4.0 out of 5 stars a fairly easy book, July 11, 2000
By A Customer
This review is from: Statistics for Business and Financial Economics (Hardcover)
Hi,

When I try to look into the table contents of this book, I found it is for beginners of statistics only. Unless you are entry level of this area, I suggest you to buy some other books together.

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Inside This Book (learn more)
First Sentence:
Statistics is a body of knowledge that is useful for collecting, organizing, presenting, analyzing, and interpreting data (collections of any number of related observations) and numerical facts. Read the first page
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New Jersey, United States, New York, General Motors, Predictor Coef, Professional Graphics, Analysis of Variance Source, Data Display, Standard Graphics, Home News, Key Terms, Microsoft Excel, Dow Jones Industrial Average, Fit Residual St Resid, Kyle City, Squares Square, Chart Wizard, Column Standard Deviation Standard, Adj R-sq, Composite Index, Dep Mean, Estimate Error Parameter, Midpoint Count, Value Prob, Derivation of Equation
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