Chapter 7. A Maximal Extension of the Gauss–Markov Theorem and Its Nonlinear Versions

  1. Takeaki Kariya1 and
  2. Hiroshi Kurata2

Published Online: 8 SEP 2004

DOI: 10.1002/0470866993.ch7

Generalized Least Squares

Generalized Least Squares

How to Cite

Kariya, T. and Kurata, H. (2004) A Maximal Extension of the Gauss–Markov Theorem and Its Nonlinear Versions, in Generalized Least Squares, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470866993.ch7

Author Information

  1. 1

    Kyoto University and Meiji University, Japan

  2. 2

    University of Tokyo, Japan

Publication History

  1. Published Online: 8 SEP 2004
  2. Published Print: 25 JUN 2004

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470866979

Online ISBN: 9780470866993

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Summary

  • Overview

  • An Equivalence Relation on S(n)

  • A Maximal Extension of the Gauss–Markov Theorem

  • Nonlinear Versions of the Gauss–Markov Theorem

  • Problems