Neyman-Pearson theory

Neyman-Pearson theory

[′nā·mən ′pir·sən ‚thē·ə·rē]
(statistics)
A theory that determines what is the best test to use to examine a statistical hypothesis.
References in periodicals archive ?
The limitations in the book are few: the use of color--especially in highlighting the most important points--would be helpful, and there is the occasional confusing paragraph, for example under the Neyman-Pearson Theory section of Chapter 2 where the null/alternate hypothesis is introduced verbally in one form, then inverted in the following table.
A small sample of specific topics: map matching algorithm based on mobile phone location, research on the starting performance of the hybrid rotor machine, design of intelligent agriculture management information system, and research on the quality risk model of manufacturing network based on the Neyman-Pearson Theory.
In this case, the Neyman-Pearson theory suggests to replace the "critical region" A with a random test, i.