Calculation of Measurement Uncertainty Using Prior Information

Abstract

We describe the use of Bayesian inference to include prior information about the value of the measurand in the calculation of measurement uncertainty. Typical examples show this can, in effect, reduce the expanded uncertainty by up to 85 %. The application of the Bayesian approach to proving workpiece conformance to specification (as given by international standard ISO 14253-1) is presented and a procedure for increasing the conformance zone by modifying the expanded uncertainty guard bands is discussed.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1998
Accession Number
ADA530478

Entities

People

  • K. R. Eberhardt
  • M. S. Levenson
  • S. D. Phillips
  • W. T. Estler

Organizations

  • National Institute of Standards and Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Bayesian Inference
  • Bayesian Networks
  • Cost Analysis
  • Cost Estimates
  • Costs
  • Equations
  • Gaussian Distributions
  • Measurement
  • Measuring Instruments
  • Probability
  • Probability Distributions
  • Production
  • Quality Control
  • Standards
  • Statistical Processes
  • Uncertainty

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference