Linear models : least squares and alternatives
Author(s)
Bibliographic Information
Linear models : least squares and alternatives
（Springer series in statistics）
Springer, c1995
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Note
Includes bibliographical references (p. [329]-343) and index
Description and Table of Contents
Description
This text provides an account of the theory and applications of linear models. The book 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.
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