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"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 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."--BOOK JACKET.
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Linear models (Statistics)Showing 1 featured edition. View all 1 editions?
Edition | Availability |
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1
Linear Models: Least Squares and Alternatives (Springer Series in Statistics)
July 30, 1999, Springer
in English
0387988483 9780387988481
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- Created April 29, 2008
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November 30, 2020 | Edited by MARC Bot | import existing book |
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