Autocorrelation and tolerance limits
Publication date
2003
Document type
Forschungsartikel
Author
Amin, Raid
Organisational unit
Europa-Universität Viadrina Frankfurt (Oder)
Scopus ID
Publisher
Taylor & Francis
Series or journal
Journal of Statistical Computation and Simulation
ISSN
Periodical volume
73
Periodical issue
7
First page
467
Last page
489
Part of the university bibliography
Nein
Language
English
Keyword
Control chart
Correlation
Ewma
Moment estimator
Tolerance limits
Abstract
Tolerance limits are limits that include a specified proportion of the population at a given confidence level. They are used to make sure that the production will not be outside specifications. Tolerance limits are either designed based on the normality assumption, or nonparametric tolerance limits are established. In either case, no provision for autocorrelated processes is made in the available design tables of tolerance limits. It is shown how to construct tolerance limits to cover a specified proportion of the population when autocorrelation is present in the process. A comparison of four different tolerance limits is provided, and recommendations are given for choosing the "best" estimator of the process variability for the construction of tolerance limits.
Description
Published online: 29 Oct 2010
Version
Published version
Access right on openHSU
Metadata only access