Stock photo: cover may vary
Applied Regression Analysis and Other Multivariable Methods Hardback - 2013
by Kleinbaum, David; Kupper, Lawrence; Nizam, Azhar; Rosenberg, Eli
- Used
- very good
A$62.03
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from BooksRun (Pennsylvania, United States)
Details
- Title Applied Regression Analysis and Other Multivariable Methods
- Author Kleinbaum, David; Kupper, Lawrence; Nizam, Azhar; Rosenberg, Eli
- Binding Hardback
- Edition 5
- Condition Used - Very good
- Pages 1072
- Volumes 1
- Language ENG
- Publisher Cengage Learning
- Publication date 2013-08
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # 1285051084-8-1
- ISBN 9781285051086 / 1285051084
- Weight 3.7 lbs (1.68 kg)
- Dimensions 9.4 x 7.3 x 1.6 in (23.88 x 18.54 x 4.06 cm)
- Category Mathematics
- Library of Congress subjects Multivariate analysis, Regression analysis
- Library of Congress Catalogue Number 2013946149
- Dewey Decimal Code 519.535
- Quantity available 2
About BooksRun Pennsylvania, United States
Specialising in: Textbooks
Biblio member since 2016
BooksRun - best place to buy, sell or rent cheap textbooks
30 days return guarantee. 10% restocking fee applies to discretionary returns
Reader reviews for Applied Regression Analysis and Other Multivariable Methods
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
