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Analysis of Average Run Length for CUSUM Procedure with Negative Exponential Data


Paper Type 
Contributed Paper
Title 
Analysis of Average Run Length for CUSUM Procedure with Negative Exponential Data
Author 
Jaruchat Busaba, Saowanit Sukparungsee, Yapaporn Areepong and Gabriel Mititelu
Email 
swns@kmutnb.ac.th
Abstract:

The Average Run Length (ARL) is a performance measure that is frequently used in control charts. Cumulative Sum (CUSUM) is a popular procedure in quality control as it is a sensitive detector of small shifts in values of distribution parameters. In this paper, we use an integral equation approach to derive explicit formulas for the ARL (the first passage times) for CUSUM when observations are negative exponential distributed. Simulations are carried out to compare the performance of the explicit formulas is found to be approximately 10 seconds, which is much less than the computational time required for numerical approximations.

Start & End Page 
200 - 208
Received Date 
2011-05-30
Revised Date 
Accepted Date 
2011-11-10
Full Text 
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Keyword 
average run length, cumulative sum, fredholm integral equation, numerical approximations, statistical process control
Volume 
Vol.39 No.2 (APRIL 2012)
DOI 
Citation 
Busaba J., Sukparungsee S., Areepong Y. and Mititelu G., Analysis of Average Run Length for CUSUM Procedure with Negative Exponential Data, Chiang Mai J. Sci., 2012; 39(2): 200-208.
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