On the Credibility of Estimates: Its Evaluation and Improvement

Abstract

The practical problem of appraising the accuracy of estimates--before or after they have been obtained--is analysed. A procedure called decomposed error analysis is proposed, which takes quantified assessments of different kinds of error, such as random sampling fluctuations and mismeasurement, and synthesizes them into a global assessment of error. It replaces and enlarges classical statistical inference approaches in a personalist format which does not depend on Bayesian updating. Applications from the private and public sector are presented.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1978
Accession Number
ADA057270

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  • Rex V. Brown

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  • Applied Combinatorial Optimization and Logic Circuit Design.
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Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
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  • AI & ML - Machine Learning Algorithms