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Testing Hypotheses

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

Abstract

We will consider two approaches to testing hypotheses about linear models. The approaches are identical in that a test under either approach is a well defined test under the other approach. The two methods are only conceptually different. One approach is that of testing models; the other approach is of testing linear parametric functions.

Keywords

Projection Operator Design Matrix Estimation Space Noncentrality Parameter Orthogonal Constraint 
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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