Moment Estimators of Defect Pattern Frequencies, Allowing for Inspection Error.

Abstract

Unbiased estimators of the number of individuals in a lot possessing various patterns of types of defects are constructed. Explicit formulas are given for cases of two and three types of defect. Application of the formulas requires knowledge of the probabilities of various kinds of errors in the inspection process.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA133487

Entities

People

  • Norman L. Johnson
  • Samuel Kotz

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coefficients
  • Contracts
  • Data Science
  • Distribution Theory
  • Equations
  • Errors
  • Estimators
  • Information Science
  • Inspection
  • Maryland
  • Military Research
  • North Carolina
  • Probability
  • Quality Control
  • Statistical Samples
  • Statistics
  • Universities

Fields of Study

  • Mathematics

Readers

  • Statistical inference.
  • Structural Health Monitoring of Composite Structures.
  • Theoretical Analysis.