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Virginia Polytechnic Institute

A comparison of a supplementary sample non-parametric empirical Bayes estimator with the classical estimator in a quality control situation

Abstract

dc:description.abstract

The purpose of this study was to compare the effectiveness of the classical estimator with that of a supplementary sample non-parametric empirical Bayes estimator in detecting an out-of-control situation arising in statistical quality control work. The investigation was accomplished through Monte Carlo simulation on the IBM-7040/1401 system at the Virginia Polytechnic Institute Computing Center, Blacksburg, Virginia. In most cases considered in this study, the sole criterion for accepting or rejecting the hypothesis that the industrial process is in control was the location of the estimate on the control chart for fraction defectives. If an estimate fell outside the 30 control limits, that particular batch was said to have been produced by an out-of-control system. In other cases the concept of "runs" was included as an additional criterion for acceptance or rejection. Also considered were various parameters, such as the mean in-control fraction defectives, the mean out-of-control fraction defectives, the~first sample size, the standard deviation of the supplementary sample estimates, and the number of past experiences used in computing the empirical Bayes estimator. The Monte Carlo studies showed that, for almost any set of parameter values, the empirical Bayes estimator is much more effective in detecting an out-of-control situation than is the classical estimator. The most notable advantage gained by using the empirical Bayes estimator is that long-range lack of detection is virtually impossible.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Statistics
Department dc:contributor.department
Statistics
Grantor dc:publisher
Virginia Polytechnic Institute
Year dc:date.issued
1968

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gabbert, James Tate

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10919/101402
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/101402

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Gabbert, James Tate. A comparison of a supplementary sample non-parametric empirical Bayes estimator with the classical estimator in a quality control situation. masters thesis, Virginia Polytechnic Institute, 1968. http://hdl.handle.net/10919/101402