| Title:
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LINEAR MODELS AND GENERALIZATIONS
LEAST SQUARES AND ALTERNATIVES |
| By: |
C. Radhakrishna Rao, Helge Toutenburg, Heumann, C. Shalabh |
| Format: |
Paperback |
| List price:
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£90.00 |
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| ISBN 10: |
3642093531 |
| ISBN 13: |
9783642093531 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
19 November, 2010 |
| Edition: |
Softcover reprint of hardcover 3rd ed. 2008 |
| Series: |
Springer Series in Statistics |
| Pages: |
572 |
| Description: |
Third Edition explores the theory and applications of linear models. It presents a unified theory of inference from linear models and its generalizations with minimal assumptions, using least squares theory and alternative methods of estimation and testing. |
| Synopsis: |
Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights of coverage include sensitivity analysis and model selection, an analysis of incomplete data, an analysis of categorical data based on a unified presentation of generalized linear models, and an extensive appendix on matrix theory. |
| Illustrations: |
18 Tables, black and white; XIX, 572 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |