Dr. S. R. Lasker Library Online Catalogue

Home      Library Home      Institutional Repository      E-Resources      MyAthens      EWU Home

Amazon cover image
Image from Amazon.com

Linear models and generalizations : least squares and alternatives / C. Radhakrishna Rao ... [et al.]

Contributor(s): Rao, C. RadhakrishnaMaterial type: TextTextLanguage: English Series: Springer series in statisticsPublication details: New York : Springer, 2008. Edition: 3rd extended edDescription: xix, 570 p. : ill. ; 25 cmISBN: 9783540742265 ; 9780387988481Subject(s): Mathematical satistics | Linear models (Statistics)DDC classification: 519.5 Online resources: Ebook Fulltext
Contents:
TOC 1. Introduction -- 2. The Simple Linear Regression Model -- 3. The Multiple Linear Regression Model -- 4. The Generalized Linear Regression Model -- 5. Exact and Stochastic Linear Restrictions -- 6. Prediction Problems in the Generalized Regression Model -- 7. Sensitivity Analysis -- 8. Analysis of Incomplete Data Sets -- 9. Robust Regression -- 10. Models for Categorical Response Variables -- Fitting Smooth Functions -- Appendix A: Matrix Algebra
Summary: "This book provides an up-to-date account of the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. It can be used as a text for courses in Read more...
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book 		Non-fiction 519.5 LIN 2008 (Browse shelf(Opens below)) Not for loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 519.5 LIN 2008 (Browse shelf(Opens below)) C-1 Not For Loan 27312
Text Text Dr. S. R. Lasker Library, EWU
Circulation Section 		Non-fiction 519.5 LIN 2008 (Browse shelf(Opens below)) C-2 Available 28167
Total holds: 0

Print version:
Linear models and generalizations.
Berlin ; New York : Springer, ©2008
(OCoLC)173807301.

Includes Bibliographical References and Index.

TOC 1. Introduction --
2. The Simple Linear Regression Model --
3. The Multiple Linear Regression Model --
4. The Generalized Linear Regression Model --
5. Exact and Stochastic Linear Restrictions --
6. Prediction Problems in the Generalized Regression Model --
7. Sensitivity Analysis --
8. Analysis of Incomplete Data Sets --
9. Robust Regression --
10. Models for Categorical Response Variables --
Fitting Smooth Functions --
Appendix A: Matrix Algebra

"This book provides an up-to-date account of the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. It can be used as a text for courses in Read more...

AS

Saifun Momota

There are no comments on this title.

to post a comment.