Introduction to Linear Regression Analysis Peck Montgomery Hardback W/ Sleeve

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Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Please see pictures for cosmetic condition. It is in very good condition. I didn't notice any ...
Personalized
No
ISBN
9780471058502
Subject Area
Mathematics
Publication Name
Introduction to Linear Regression Analysis
Publisher
Wiley & Sons, Incorporated, John
Item Length
11.3 in
Subject
Probability & Statistics / Regression Analysis
Publication Year
1982
Series
Applied Probability and Statistics Ser.
Type
Textbook
Format
Hardcover
Language
English
Author
Douglas C. Montgomery, Elizabeth A. Peck
Item Weight
31 Oz
Item Width
4.6 in
Number of Pages
504 Pages
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471058505
ISBN-13
9780471058502
eBay Product ID (ePID)
1999314

Product Key Features

Number of Pages
504 Pages
Language
English
Publication Name
Introduction to Linear Regression Analysis
Publication Year
1982
Subject
Probability & Statistics / Regression Analysis
Type
Textbook
Subject Area
Mathematics
Author
Douglas C. Montgomery, Elizabeth A. Peck
Series
Applied Probability and Statistics Ser.
Format
Hardcover

Dimensions

Item Weight
31 Oz
Item Length
11.3 in
Item Width
4.6 in

Additional Product Features

LCCN
81-011512
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.5/36
Table Of Content
Simple Linear Regression and Correlation. Measures of Model Adequacy. Multiple Linear Regression. Polynomial Regression Models. Indicator Variables. Variable Selection and Model Building. Multicollinearity. Topics in the Use of Regression Analysis. Validation of Regression Models. Appendixes. Index.
LC Classification Number
QA278.2

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