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Lawrence C. Hamilton
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Regression with Graphics: A Second Course in Applied Statistics Hardcover – 16 July 1991

by Lawrence Hamilton (Author)
4.2 4.2 out of 5 stars 8 ratings
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This text demonstrates how computing power has expanded the role of graphics in analyzing, exploring, and experimenting with raw data. It is primarily intended for students whose research requires more than an introductory statistics course, but who may not have an extensive background in rigorous mathematics. It's also suitable for courses with students of varying mathematical abilities. Hamilton provides students with a practical, realistic, and graphical approach to regression analysis so that they are better prepared to solve real, sometimes messy problems. For students and professors who prefer a heavier mathematical emphasis, the author has included optional sections throughout the text where the formal, mathematical development of the material is explained in greater detail. REGRESSION WITH GRAPHICS is appropriate for use with any (or no) statistical computer package. However, Hamilton used STAT A in the development of the text due to its ease of application and sophisticated graphics capabilities. (STATA is available in a student package from Duxbury including a tutorial by the same author: Hamilton, STATISTICS WITH STAT A, 5.0, 1998; ISBN: 0-534-31874-6.)
Previous page
  1. Print length
    363 pages
  2. Language
    English
  3. Publisher
    Brooks/Cole
  4. Publication date
    16 July 1991
  5. Dimensions
    19.69 x 2.54 x 24.77 cm
  6. ISBN-10
    0534159001
  7. ISBN-13
    978-0534159009
  8. See all details
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1. Variable Distributions 2. Bivariate Regression Analysis 3. Basics of Multiple Regression 4. Regression Criticism 5. Fitting Curves 6. Robust Regressions 7. Logit Regression 8. Principle Components and Factor Analysis

About the Author

Ph.D., University of Colorado at Boulder

Product details

  • Publisher ‏ : ‎ Brooks/Cole (16 July 1991)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 363 pages
  • ISBN-10 ‏ : ‎ 0534159001
  • ISBN-13 ‏ : ‎ 978-0534159009
  • Dimensions ‏ : ‎ 19.69 x 2.54 x 24.77 cm
  • Customer Reviews:
    4.2 4.2 out of 5 stars 8 ratings

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Lawrence C. Hamilton

Lawrence C. Hamilton

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Jeanne
5.0 out of 5 stars Excellent not-too-technical practical introduction
Reviewed in the United States on 11 June 2014
Verified Purchase
Although this text is old (1992), I think it remains even in 2014 one of the best practical introductions to regression. Both regression's strengths and its weaknesses when confronted with real data are covered in an admirably clear and concise manner. It introduces theory without overwhelming the reader with mathematics, a problem prevalent in so many econometrics texts.
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3.0 out of 5 stars good reference
Reviewed in the United States on 11 August 2013
Verified Purchase
Good if you need to learn basic regression. Statistics can be challenging, and I still use this book as a reference.
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