Chiang Mai Journal of Science

Print ISSN: 0125-2526 | eISSN : 2465-3845

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Exact Solution for Average Run Length of CUSUM Charts for MA(1) Process

Kanita Petcharat[a], Yupaporn Areepong*[a], Saowanit Sukparungsee[a] and Gabriel Mititelu[b]
* Author for corresponding; e-mail address: yupaporna@kmutnb.ac.th
Volume: Vol.41 No.5/2 (OCTOBER 2014)
Research Article
DOI:
Received: 16 July 2012, Revised: -, Accepted: 11 November 2013, Published: -

Citation: Petcharat K., Areepong Y., Sukparungsee S. and Mititelu G., Exact Solution for Average Run Length of CUSUM Charts for MA(1) Process, Chiang Mai Journal of Science, 2014; 41(5/2): 1449-1456.

Abstract

 In this paper we apply Fredhom type integral equations method to derive explicit formula of the average run length (ARL) for a Cumulative Sum (CUSUM) chart, when observations are described by a first order moving average MA(1) process, with exponential white noise. We compare the computational time between our analytical explicit expressions for the ARL performance with the one obtained via Gauss-Legendre numerical scheme for integral equations.  We found that those methods are in excellent agreement however, the computational time of the former takes approximately 1 second while the latter method consumes the computational time 11 minutes approximately.

Keywords: Statistical Process Control, Cumulative Sum, Moving Average Observation, Average Run Length, Fredholm Type Integral Equations, Numerical Approximations

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