Testing Hypotheses

  • Phillip Good
Part of the Springer Series in Statistics book series (SSS)

Abstract

In this chapter, you learn how to approach and resolve a series of testing problems of increasing complexity, specifically, tests for location and scale parameters in one, two, and k samples. You learn how to derive confidence intervals for the unknown parameters, and you learn to increase the power of your tests by sampling from blocks of similar composition.

Keywords

Permutation Test Location Parameter Original Observation Permutation Distribution Pivotal Quantity 
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 2000

Authors and Affiliations

  • Phillip Good
    • 1
  1. 1.Huntington BeachUSA

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