A Comparison of Classification and Hypothesis Testing Procedures for Choosing between Competing Families of Distributions, Including a Survey of the Goodness of Fit Tests.

Abstract

Procedures for determining from which of two parametric families a random sample has been drawn are considered. Primary attention is focused on families which are location and/or scale invariant. The procedures are compared using Monte Carlo sampling techniques for six pairs of distributions. Certain procedures based on sample spacing are shown to compare quite favorably with the 'best' invariant and likelihood ratio procedures. Procedures are considered in both the classification and hypothesis testing frameworks. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1971
Accession Number
AD0726899

Entities

People

  • Alan R. Dyer

Tags

DTIC Thesaurus Topics

  • Classification
  • Collecting Methods
  • Computing-Related Activities
  • Data Science
  • Goodness Of Fit Tests
  • Information Science
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Sampling
  • Statistical Analysis
  • Statistical Samples
  • Surveys

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Systems Analysis and Design

Technology Areas

  • Space