Improved sample size determination for attributes and variables sampling

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Earlier INMM papers have addressed the attributes/variables problem and, under conservative/limiting approximations, have reported analytical solutions for the attributes and variables sample sizes. Through computer simulation of this problem, we have calculated attributes and variables sample sizes as a function of falsification, measurement uncertainties, and required detection probability without using approximations. Using realistic assumptions for uncertainty parameters of measurement, the simulation results support the conclusions: (1) previously used conservative approximations can be expensive because they lead to larger sample sizes than needed; and (2) the optimal verification strategy, as well as the falsification strategy, are highly dependent on the underlying ... continued below

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Pages: 8

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Stirpe, D. & Picard, R.R. January 1, 1985.

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Description

Earlier INMM papers have addressed the attributes/variables problem and, under conservative/limiting approximations, have reported analytical solutions for the attributes and variables sample sizes. Through computer simulation of this problem, we have calculated attributes and variables sample sizes as a function of falsification, measurement uncertainties, and required detection probability without using approximations. Using realistic assumptions for uncertainty parameters of measurement, the simulation results support the conclusions: (1) previously used conservative approximations can be expensive because they lead to larger sample sizes than needed; and (2) the optimal verification strategy, as well as the falsification strategy, are highly dependent on the underlying uncertainty parameters of the measurement instruments. 1 ref., 3 figs.

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Pages: 8

Notes

NTIS, PC A02; 3.

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  • 26. annual meeting of the Institute of Nuclear Materials Management, Albuquerque, NM, USA, 21 Jul 1985

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  • Other: DE85015706
  • Report No.: LA-UR-85-2484
  • Report No.: CONF-850765-17
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 5534026
  • Archival Resource Key: ark:/67531/metadc1094113

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Office of Scientific & Technical Information Technical Reports

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Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • January 1, 1985

Added to The UNT Digital Library

  • Feb. 10, 2018, 10:06 p.m.

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  • May 22, 2018, 6:50 p.m.

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Stirpe, D. & Picard, R.R. Improved sample size determination for attributes and variables sampling, article, January 1, 1985; New Mexico. (digital.library.unt.edu/ark:/67531/metadc1094113/: accessed October 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.