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Hypothesis Testing

  • Robert W. Keener
Chapter
Part of the Springer Texts in Statistics book series (STS)

Abstract

In hypothesis testing data are used to infer which of two competing hypotheses, H 0 or H 1, is correct. As before, \(X \sim P_{\theta} \) for some \(\theta \epsilon \Omega\), and the two competing hypotheses are that the unknown parameter θ lies in set Ω 0 or in set Ω 1, written
$$H_0 :\theta \in \Omega _0 \; {\rm versus} \; H_0 :\theta \in \Omega _1.$$

Keywords

Likelihood Ratio Likelihood Ratio Test Power Function Powerful Test Exponential Family 
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 New York 2009

Authors and Affiliations

  • Robert W. Keener
    • 1
  1. 1.Department of StatisticsUniversity of MichiganAnn ArborUSA

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