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.
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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.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Springer Series in Statistics |
Release date | November 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2008 |
Contributors | M. Schomaker |
Authors | C.Radhakrishna Rao, Helge Toutenburg, Shalabh, Christian Heumann |
Dimensions | 235 x 155 x 30mm (L x W x T) |
Format | Paperback |
Pages | 572 |
Edition | Softcover reprint of hardcover 3rd ed. 2008 |
ISBN-13 | 978-3-642-09353-1 |
Barcode | 9783642093531 |
Categories | |
LSN | 3-642-09353-1 |