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One-sided screening procedure using multiple normally distributed variables

Abstract

dc:description.abstract

In the situations in which the proportion of acceptable products from the output of a production process is below the required level, it is essential to screen out the products of unacceptable quality. By eliminating the products of low quality, the proportion of products of the acceptable quality in the remaining population of products is raised. In some instances it is not possible to make quality assessment by measuring directly on the variable of interest (performance variable). The measure is not possible because it destroys or degrades the product. In such cases, auxiliary variables which are correlated with the performance variable can be used to indirectly determine the quality of the product. These variables are called screening variables. Under the assumption that the performance and the screening variables follow a multivariate normal distribution, a regression model is used to predict the value of the performance variable. Using Monte Carlo simulation, the performance of the regression model is evaluated. The evaluation is done for two cases: (1) the parameters of the underlying distribution are known, (2) the parameters are not known. The results show that the efficiency of the screening depends highly on the value of the correlation coefficient between the performance variable and a linear combination of the screening variables. Furthermore, the comparison with the previously developed models is performed. Findings show that the regression model is very useful, especially in the cases in which multiple screening variables are available and the parameters of the underlying distribution are not known.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Industrial and Systems Engineering
Department dc:contributor.department
Industrial and Systems Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
1994

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Boskov, Lazar
Chair dc:contributor.committeechair
  • Nachlas, Joel A.
Committee members dc:contributor.committeemember
  • Holtzman, Golde I.
  • Kobza, John E.

Rights

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

Identifiers

dc:identifier.*
Dc Identifier Other
etd-06302009-040451
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/43507

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

Boskov, Lazar. One-sided screening procedure using multiple normally distributed variables. masters thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/43507