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Confidence Intervals for Model Parameters

  • Victor M. Panaretos
Chapter
  • 3.6k Downloads
Part of the Compact Textbooks in Mathematics book series (CTM)

Abstract

This chapter studies the problem of construction of confidence intervals for 1-parameter models. It uses the special case of the Gaussian distribution to introduce the notions of pivot and approximate pivot. Then, the determination of more general approximate pivots is discussed in the context of exponential families, by means of Wald’s method and likelihood ratios. The duality with hypothesis tests is then introduced, and used to show how optimal one-sided tests can yield optimal one-sided intervals in exponential families.

Keywords

Optimal Confidence Interval Approximate Pivot Likelihood Ratio Interval Unilateral Interval Regular Parametric 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.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Victor M. Panaretos
    • 1
  1. 1.Institute of MathematicsEPFLLausanneSwitzerland

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