Inspections with Unknown Detection Probabilities.

Abstract

This document assumes that in an acceptance sampling situation the lot is subject to 100% inspection. The probability that a defective unit is detected is different for each inspector and is unknown. It is of interest to estimate N, the number of defective units in the lot (presumably, a decision to reject or accept the lot would be based on the estimate of N). Or, suppose satellites are used for surveillance over a given part of the earth with the detection of certain types of installations being the mission of a given satellite. However, for various reasons, it can be assumed the detection of any existing installation is uncertain with an unknown probability of detection that varies among satellites. The problem is to estimate the total number of installtions based on the number observed. A third situation involves the reading of a manuscript by many proofreaders. Based on the results, it may be of interest to estimate the total number of typographical errors.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1983
Accession Number
ADA136890

Entities

People

  • C. Derman
  • G. J. Lieberman
  • S. M. Ross

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Air Force
  • California
  • Civil Engineering
  • Computer Programming
  • Computers
  • Convergence
  • Engineering
  • Estimators
  • Industrial Engineering
  • Inspection
  • Literature
  • New York
  • Operations Research
  • Personal Computers
  • Probability
  • Sampling
  • United States

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Computer Vision.
  • Facility/Structural Engineering.

Technology Areas

  • Space
  • Space - Space Objects