On the Power of the Extreme Spread.

Abstract

A variety of techniques are available for testing whether a random sample might reasonably be assumed to have come from a normal population. If, however, the random sample is a bivariate random sample the number of choices is greatly reduced. The purpose of this note is to suggest a new statistic for testing the hypothesis of bivariate normality in the case of known sigma which is easily computed and whose power seems to be far superior to the classical chi-square test, and in addition, may be used with small sample sizes, where the chi-square test is inappropriate.

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1975
Accession Number
ADA016907

Entities

People

  • Malcolm S. Taylor

Organizations

  • Ballistic Research Laboratory

Tags

DTIC Thesaurus Topics

  • Chi Square Test
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Normality
  • Statistical Samples

Fields of Study

  • Mathematics

Readers

  • Regression Analysis.