Ebook Download Regression with Graphics: A Second Course in Applied Statistics, by Lawrence C. Hamilton
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Regression with Graphics: A Second Course in Applied Statistics, by Lawrence C. Hamilton
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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.)
- Sales Rank: #941541 in Books
- Brand: Brand: Cengage Learning
- Published on: 1991-11-14
- Original language: English
- Number of items: 1
- Dimensions: .80" h x 7.67" w x 9.60" l, 1.60 pounds
- Binding: Hardcover
- 363 pages
- Used Book in Good Condition
Review
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
Most helpful customer reviews
13 of 13 people found the following review helpful.
Underappreciated Book
By David Perkins
This book covers almost all the topics one would like a practioner to know, but briefly and with emphasis on graphic examination of the data. It is assumed the reader has access to some statistical package. A brief list of topics I was pleased to find in this book: quantile plots (p. 11!), transformations, partial regression leverage plots, dummy variables, a chapter examining assumptions of OLS regression (incl multicollinearity), exploratory band regression, non-linear regression, robust regression, logit regression, and principal componenet analysis. All the simple linear regression stuff is here, with relationship to analysis of variance.
People come to me to ask questions about regression, and this book illustrates all the "gotchas" I want to warn them about. I recently went through 6 regression books I have accumulated since the 70's, and I find this book the one I would least like to have disappear off my shelves.
6 of 8 people found the following review helpful.
Simple and Convenient
By A Customer
An excellent book for the Student as well as the professional. This book presents statistical concepts in a clear and simple fashion, using graphs. This makes it a pretty handy guide for people who use regressions and other stat techniques.. The reader is expected to be a bit comfortable with some greek symbols though
1 of 1 people found the following review helpful.
good reference
By Amazon Customer
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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