Linear Models
Subtitle: Least Squares and Alternatives (Springer Series in Statistics)
Contributors: Andreas Fieger (Contributor); Christian Heumann (Contributor); Thomas Nittner (Contributor); Sandro Scheid (Contributor)
Publisher: Springer
Published: July 30, 1999
Language: eng
Number of pages: 427
ISBN-13: 9780387988481
Description: "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.