Estimation and Testing in a General Gauss-Markov Model

  • Ronald Christensen
Part of the Springer Texts in Statistics book series (STS)

Abstract

A general Gauss-Markov model is a model Chapter 10
$$Y = X\beta + e,E(e) = 0,Cov(e) = {\sigma ^2}V$$
(1.1)
.

Keywords

Unbiased Estimate Generalize Inverse Equivalent Model Geometric Aspect Linear Unbiased Estimate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1987

Authors and Affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematical SciencesMontana State UniversityBozemanUSA

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