Linear models [electronic resource] : least squares and alternatives / C. Radhakrishna Rao, Helge Toutenburg.
This book provides an up-to-date account of the theory and applications of linear models. It can be used as a text for courses in statistics at the graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference f...
Saved in:
Online Access: |
Full Text (via Springer) |
---|---|
Main Author: | |
Other Authors: | |
Format: | Electronic eBook |
Language: | English |
Published: |
New York :
Springer,
©1999.
|
Edition: | 2nd ed. |
Series: | Springer series in statistics.
|
Subjects: |
Table of Contents:
- Cover
- Preface to the First Edition
- Preface to the Second Edition
- Table of Contents
- 1. Introduction
- 2. Linear Models
- 3. The 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
- Appendix A
- Matrix Algebra
- Appendix B
- Tables
- Appendix C
- Software for Linear Regression Models
- References.