Linear Models: Least Squares and Alternatives

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Edition: 2nd

Series: Springer Series in Statistics

ISBN: 9780387945620, 0387945628

Size: 2 MB (1818749 bytes)

Pages: 439/439

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C.Radhakrishna Rao, Helge Toutenburg, Christian Heumann, Thomas Nittner, Sandro Scheid9780387945620, 0387945628

Provides a current account of the theory and applications of linear models. Presents a unified theory of inference from linear models with minimal assumptions through least squares theory, and using alternative methods of estimation and testing based on convex loss functions and general estimating equations.

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