Linear models / C. Radhakrishna Rao, Helge Toutenburg
- 作者： Rao, C. Radhakrishna.
- 其他作者：
- 其他題名：
- Springer e-books
- 出版： New York : Springer c1999
- 叢書名： Springer series in statistics
- 主題： Linear models (Statistics)
- 版本：2nd ed.
- ISBN： 9780387227528 (electronic bk.) 、 9780387988481 (paper)
- URL：
電子書
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讀者標籤：
- 系統號： 005167278 | 機讀編目格式
館藏資訊
An up-to-date account of the theory and applications of linear models, for use as a textbook in statistics at 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 from linear models 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. Highlights include: - a special emphasis on sensitivity analysis and model selection; - a chapter devoted to the analysis of categorical data based on logic, loglinear, and logistic regression models; - a chapter devoted to incomplete data sets; - an extensive appendix on matrix theory; - a chapter devoted to the analysis of categorical data based on a unified presentation of generalized linear models including GEE-methods for correlated response; - a chapter devoted to incomplete data sets including regression diagnostics to identify Non-MCAR-processes The material covered is thus invaluable not only to graduates, but also to researchers and consultants in statistics.