This site uses cookies to deliver our services, improve performance, for analytics, and (if not signed in) for advertising. By using LibraryThing you acknowledge that you have read and understand our Terms of Service and Privacy Policy. Your use of the site and services is subject to these policies and terms.
Hide this

Results from Google Books

Click on a thumbnail to go to Google Books.

Applied Regression Analysis, 3E by Draper…

Applied Regression Analysis, 3E (edition 2011)

by Draper N.R. (Author)

MembersReviewsPopularityAverage ratingMentions
112None161,596 (3.88)1
Title:Applied Regression Analysis, 3E
Authors:Draper N.R. (Author)
Info:n/a (2011)
Collections:Your library
Tags:Mathematics, U.1.2, IUGC Library1

Work details

Applied Regression Analysis by Norman R. Draper



Sign up for LibraryThing to find out whether you'll like this book.

No current Talk conversations about this book.

» See also 1 mention

No reviews
no reviews | add a review

» Add other authors

Author nameRoleType of authorWork?Status
Norman R. Draperprimary authorall editionscalculated
Smith, Harrymain authorall editionsconfirmed
You must log in to edit Common Knowledge data.
For more help see the Common Knowledge help page.
Series (with order)
Canonical title
Original title
Alternative titles
Original publication date
Important places
Important events
Related movies
Awards and honors
First words
In today's industry, there is no shortage of "information."
The foregoing analysis raises a question we have avoided until now. When a factor like X2 is dropped from a model, should we re-assess our treatment of pure error? In Table 7.6, runs 15-20 are the only repeats but, when X2 is dropped so that the data become as in Table 7.11, the pairs of runs numbered (1,3), (2,4), (5,7), and (6,8) now apparently form four pairs of repeat runs in variables X1 and X3.
Last words
(Click to show. Warning: May contain spoilers.)
Disambiguation notice
Publisher's editors
Publisher series
Original language
Canonical DDC/MDS
Book description
Haiku summary

Amazon.com Product Description (ISBN 0471170828, Hardcover)

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.

(retrieved from Amazon Thu, 12 Mar 2015 18:22:17 -0400)

No library descriptions found.

Quick Links

Popular covers


Average: (3.88)
3 2
3.5 1
4 3
4.5 1
5 1

Is this you?

Become a LibraryThing Author.


About | Contact | Privacy/Terms | Help/FAQs | Blog | Store | APIs | TinyCat | Legacy Libraries | Early Reviewers | Common Knowledge | 135,597,598 books! | Top bar: Always visible