Journal article
Study of average run lengths for supplementary runs rules in the presence of autocorrelation
Communications in statistics. Simulation and computation, v 23(2), pp 373-391
01 Jan 1994
Abstract
The basic assumption underlying statistical control chart criteria is that the process measurements are independent and identically distributed over time. However, autocorrelation and other time-series effects occur frequently in application. In this paper, the effects of autocorrelation are investigated for the frequently advocated supplementary runs rules. For both individual control charts based on the moving range and sample standard deviation, using simulation, the impact of autocorrelation for the AR(1) on in-control average run lengths is given.
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Details
- Title
- Study of average run lengths for supplementary runs rules in the presence of autocorrelation
- Creators
- Layth C. Alwan - University of Wisconsin–MilwaukeeCharles W. Champ - Georgia Southern UniversityHazem D. Maragah - Drexel University
- Publication Details
- Communications in statistics. Simulation and computation, v 23(2), pp 373-391
- Publisher
- Marcel Dekker, Inc
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1994NG52400005
- Scopus ID
- 2-s2.0-18844392031
- Other Identifier
- 991019173837204721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Statistics & Probability