Analytical approximations for detection of a changepoint in case of light-tailed distributions

We derive analytic approximations for the expectation of exit times of Exponentially Weighted Moving Average (EWMA) procedure by using the martingale technique. Based on this technique, martingale approach is able to adapt to monitoring of changes of light-tailed distributions such as Gaussian, P...

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Main Authors: Soawanit Sukparungsee, Novikov, Alexander
Format: Article
Published: Penerbit ukm 2008
Online Access:http://journalarticle.ukm.my/1876/
http://journalarticle.ukm.my/1876/
id ukm-1876
recordtype eprints
spelling ukm-18762011-06-16T02:55:00Z http://journalarticle.ukm.my/1876/ Analytical approximations for detection of a changepoint in case of light-tailed distributions Soawanit Sukparungsee, Novikov, Alexander We derive analytic approximations for the expectation of exit times of Exponentially Weighted Moving Average (EWMA) procedure by using the martingale technique. Based on this technique, martingale approach is able to adapt to monitoring of changes of light-tailed distributions such as Gaussian, Poisson and Bernoulli distributions. Simple procedures are addressed for obtaining the optimal design of EWMA. A comparison with Monte Carlo simulation is also presented Penerbit ukm 2008-12 Article PeerReviewed Soawanit Sukparungsee, and Novikov, Alexander (2008) Analytical approximations for detection of a changepoint in case of light-tailed distributions. Journal of Quality Measurement and Analysis, 4 (2). pp. 49-56. ISSN 1823-5670 http://www.ukm.my/~ppsmfst/jqma/index.html
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
description We derive analytic approximations for the expectation of exit times of Exponentially Weighted Moving Average (EWMA) procedure by using the martingale technique. Based on this technique, martingale approach is able to adapt to monitoring of changes of light-tailed distributions such as Gaussian, Poisson and Bernoulli distributions. Simple procedures are addressed for obtaining the optimal design of EWMA. A comparison with Monte Carlo simulation is also presented
format Article
author Soawanit Sukparungsee,
Novikov, Alexander
spellingShingle Soawanit Sukparungsee,
Novikov, Alexander
Analytical approximations for detection of a changepoint in case of light-tailed distributions
author_facet Soawanit Sukparungsee,
Novikov, Alexander
author_sort Soawanit Sukparungsee,
title Analytical approximations for detection of a changepoint in case of light-tailed distributions
title_short Analytical approximations for detection of a changepoint in case of light-tailed distributions
title_full Analytical approximations for detection of a changepoint in case of light-tailed distributions
title_fullStr Analytical approximations for detection of a changepoint in case of light-tailed distributions
title_full_unstemmed Analytical approximations for detection of a changepoint in case of light-tailed distributions
title_sort analytical approximations for detection of a changepoint in case of light-tailed distributions
publisher Penerbit ukm
publishDate 2008
url http://journalarticle.ukm.my/1876/
http://journalarticle.ukm.my/1876/
first_indexed 2023-09-18T19:34:34Z
last_indexed 2023-09-18T19:34:34Z
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