Superiority of Fit.

Abstract

In the context of both the Fisher and the Neyman-Pearson formulations, this article develops a method of testing superiority of fit to determine which of two different numerical predictions is more nearly accurate. Based on the assumption that the two predictions are not equally nearly accurate, the method is sequential continuing until a decision is reached in favor of one prediction or the other. The error probability of this decision is specifiable in advance of the test.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1976
Accession Number
ADA031337

Entities

People

  • R. A. Weitzman

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Data Science
  • Errors
  • Histograms
  • Information Science
  • Instructors
  • Normal Distribution
  • Observation
  • Probability
  • Psychology
  • Rejection
  • Sampling
  • Schools
  • Statistical Tests
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Military History / Militaries and War Studies
  • Statistical inference.