On Measuring the Conformity of a Parameter Set to a Trend, with Applications.

Abstract

Consider the hypothesis H(1):theta(1) > or = theta(2) > or = ... > or = theta(k) regarding a collection, theta(1), theta(2),...theta(k), of unknown parameters. It is clear that this trend is reflected in certain possible parameter sets more than in others. A quantification of this notion of conformity to a trend, which was suggested by Barlow and Brunk (1972), is studied. Applications of the resulting theory to several order restricted hypothesis tests are presented. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA087946

Entities

People

  • F. T. Wright
  • Tim Robertson

Organizations

  • University of Iowa

Tags

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  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Bayesian Networks
  • Conformity
  • Data Science
  • Distribution Theory
  • Information Science
  • Mathematics
  • Military Research
  • Numbers
  • Probability
  • Random Variables
  • Real Numbers
  • Real Variables
  • Statistical Inference
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Fields of Study

  • Mathematics

Readers

  • Analytical Mechanics
  • Regression Analysis.
  • Statistical inference.