Applied Regression Analysis (Wiley Series in Probability and Statistics) [Hardcover]

Norman R. Draper (Author), Harry Smith (Author)

Book Description

Publication Date: March 1981 | ISBN-10: 0471029955 | ISBN-13: 978-0471029953 | Edition: 2 Sub

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

--This text refers to an alternate Hardcover edition.

Editorial Reviews

Review

"I would wholeheartedly recommend this book to any statistician. The third edition has many advantages over the second." (Statistical Methods in Medical Research, Vol. 9, 5)

"this is an excellently written book" (Statistics & Decisions, Vol. 19, No.3, 2001) --This text refers to an alternate Hardcover edition.

From the Back Cover

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians. --This text refers to an alternate Hardcover edition.

See all Editorial Reviews

Product Details

• Hardcover: 736 pages
• Publisher: John Wiley & Sons Inc; 2 Sub edition (March 1981)
• Language: English
• ISBN-10: 0471029955
• ISBN-13: 978-0471029953
• Product Dimensions: 9.3 x 5.7 x 1.6 inches
• Shipping Weight: 5.4 pounds
• Average Customer Review: 4.0 out of 5 stars  See all reviews (9 customer reviews)
• Amazon Best Sellers Rank: #630,356 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

34 of 35 people found the following review helpful:

5.0 out of 5 stars classic text on linear regression, February 12, 2008

By 

Michael R. Chernick "statman31147" (Holland PA) - See all my reviews
(REAL NAME)   

This review is from: Applied Regression Analysis (Wiley Series in Probability and Statistics) (Hardcover)

Draper and Smith have long had a reputation for an outstanding book on regression analysis written at an elementary to intermediate level. I have long had a copy on my bookshelf and continue to purchase the revisions. They are careful to keep the book current by always incorporating new advances. This edition includes many of the recent advances in regression diagnostics as well as a description of the bootstrap approach to regression problems. Those interested in regression graphics should consult the book by R. Dennis Cook. More on the bootstrap can be found in my book "Bootstrap Methods: A Practitioner's Guide" or the other fine books by Efron and Tibshirani, Davison and Hinkley, and Lunneborg.

15 of 17 people found the following review helpful:

5.0 out of 5 stars A Great Introduction to Regression Analysis, October 26, 2000

By A Customer

This review is from: Applied Regression Analysis (Wiley Series in Probability and Statistics) (Hardcover)

I used this book for an undergraduate class in college. It was on the bookshelves of most of my Statistics professors (older editions of course). I found it to be a very intuitive and strait forward introduction in Regression Analysis. It contains all the basics needed to understand the bread and butter of Regression.

32 of 43 people found the following review helpful:

2.0 out of 5 stars Neither advanced, nor elementary, October 25, 2000

By 

Peter G. B. Matheos "pmatheos" (Los Angeles, CA USA) - See all my reviews
(REAL NAME)   

This review is from: Applied Regression Analysis (Wiley Series in Probability and Statistics) (Hardcover)

This book falls into some strange no-mans-land where definitions, proofs, and the underlying statistical theory are skipped, but formulae are stated in a symbolic language complex enough that it is hard to imagine any readers that could understand the book yet not desire more mathematical rigor. The authors do give extensive references to material they don't explain--on the other hand, for $90 most readers probably want the explanations. The authors also present many of their own opinions about the relative merits of certain statistical quantities. While their opinions, based on their years of experience as researchers, may have some merit, all too often they are forced to admit that other researchers, with comparable credentials, have opposing opinions! In that case, why include the opinions _in a textbook_? Debate in scientific journals. Explain in textbooks.

The organization at a chapter level is clear enough, but within chapters the exposition is ad-hoc. This is probably a side effect of the authors' commitment to eliminating explanations and proofs--there's no need to organize since they are just enumerating formulae and opinions.