A Decision-Theoretic Approach to the Problem of Testing a Null Hypothesis.

Abstract

The author considers the testing of the 'null hypothesis' theta = 0 against the one-dimensional alternative theta not equal to 0. In most problems, the investigator knows that theta = 0 is unreasonable, and would prefer to 'accept' theta = 0 if absolute value of theta is sufficiently small. The assumption is made that the problem is sufficiently regular, that is, that the likelihood function is sufficiently close to that of a sample from a normal distribution with mean theta and variance 1, after normalization if necessary. A mathematical formulation of this problem is given and the solution is investigated. It is shown that a crude procedure based on a 'small sample' treatment and a 'very large sample' treatment can be very bad in the transition region; also, there is not enough information in those treatments to get robust results. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1971
Accession Number
AD0725532

Entities

People

  • Herman Rubin

Organizations

  • Purdue University

Tags

DTIC Thesaurus Topics

  • Distribution Functions
  • Functions (Mathematics)
  • Normal Distribution
  • Transitions

Fields of Study

  • Mathematics

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Regression Analysis.