On the Problem of the Most Efficient Tests of Statistical Hypotheses

  • J. Neyman
  • E. S. Pearson
Chapter
Part of the Springer Series in Statistics book series (SSS)

Abstract

The problem of testing statistical hypotheses is an old one. Its origins are usually connected with the name of Thomas Bayes, who gave the well-known theorem on the probabilities a posteriori of the possible “causes” of a given event.* Since then it has been discussed by many writers of whom we shall here mention two only, Bertrand† and Borel,‡ whose differing views serve well to illustrate the point from which we shall approach the subject.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • J. Neyman
    • 1
  • E. S. Pearson
    • 2
  1. 1.Nencki Institute WarsawPoland
  2. 2.Department of Applied StatisticsUniversity CollegeLondonUK

Personalised recommendations