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Communications in Statistics - Theory and Methods Volume 26, 1997 - Issue 5
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Original Articles

Evaluatiok of optimum weights and average run lenghts in ewma control schemes

M.S. Srivastava Dept. of Statistics, University of Toronto, Toronto, Ontario, M5S 1Al
&
Yanhong Wu Dept. of Mathematical Sciences, University of Alberta, Edmonton, Alberta, T6G 2G1
Pages 1253-1267 | Received 01 Jun 1995, Published online: 27 Jun 2007

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Yanhong Wu. (2022) Isolating changed panels and estimating common change point after sequential detection with FDR control. Communications in Statistics - Simulation and Computation 51:10, pages 6149-6158.
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Dong Han, Fugee Tsung & Xianghui Ning. (2015) Detection and Diagnosis of Distribution Changes of Degree Ratio in Complex Networks. Communications in Statistics - Theory and Methods 44:9, pages 1911-1938.
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Argon Chen & Y.K. Chen. (2007) Design of EWMA and CUSUM control charts subject to random shift sizes and quality impacts. IIE Transactions 39:12, pages 1127-1141.
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Marianne Frisén & Christian Sonesson. (2006) Optimal Surveillance Based on Exponentially Weighted Moving Averages. Sequential Analysis 25:4, pages 379-403.
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Dong Han & Fugee Tsung. (2006) A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison. Journal of the American Statistical Association 101:473, pages 368-386.
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Christian Sonesson. (2003) Evaluations of some Exponentially Weighted Moving Average methods. Journal of Applied Statistics 30:10, pages 1115-1133.
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Lingyun Zhang & Gemai Chen. (2002) A NOTE ON EWMA CHARTS FOR MONITORING MEAN CHANGES IN NORMAL PROCESSES. Communications in Statistics - Theory and Methods 31:4, pages 649-661.
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Articles from other publishers (15)

Suganya Phantu, Yupaporn Areepong & Saowanit Sukparungsee. (2024) Double Moving Average Control Chart for Time Series Data with Poisson INARCH(1). WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 21, pages 694-707.
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Jean-Claude Malela-Majika, Schalk William Human & Kashinath Chatterjee. (2024) Homogeneously Weighted Moving Average Control Charts: Overview, Controversies, and New Directions. Mathematics 12:5, pages 637.
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Yupaporn Areepong & Saowanit Sukparungsee. Explicit formulas of average run lengths of moving average control chart for INARCH (1) Poisson counting processes. Explicit formulas of average run lengths of moving average control chart for INARCH (1) Poisson counting processes.
Rapin Sunthornwat, Saowanit Sukparungsee & Yupaporn Areepong. (2023) Analytical Explicit Formulas of Average Run Length of Homogenously Weighted Moving Average Control Chart Based on a MAX Process. Symmetry 15:12, pages 2112.
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Lili Zhang, Sujitta Suraphee & Piyapatr Busababodhin. (2023) Derivation of Explicit Formulae for Performance Measures of CUSUM Control Chart for SMA(Q)$${}_{\boldsymbol{s}}$$ Model with Exponential White Noise. Lobachevskii Journal of Mathematics 44:9, pages 3902-3913.
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Michael Berlemann, Julia Freese & Sven Knoth. (2019) Dating the start of the US house price bubble: an application of statistical process control. Empirical Economics 58:5, pages 2287-2307.
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Adel Al-Shayea, Mohammed A. Noman, Emad Abouel Nasr, Husam Kaid, Ali K. Kamrani & Abdulaziz M. El-Tamimi. (2019) New Integrated Model for Maintenance Planning and Quality Control Policy for Multi-Component System Using an EWMA Chart. IEEE Access 7, pages 160623-160636.
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Kanita Petcharat. (2016) Explicit Formula of ARL for SMA(Q)L with Exponential White Noise on EWMA Chart. International Journal of Applied Physics and Mathematics 6:4, pages 218-225.
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Mohammad Saleh Owlia, Mohammad Saber Fallah Nezhad & Mohesn Sheikh Sajadieh. (2015) A new method for process control based on goodness of fit tests. International Journal of Quality & Reliability Management 32:2, pages 132-143.
Crossref
Lianjie Shu, Wenpo Huang & Wei Jiang. (2014) A novel gradient approach for optimal design and sensitivity analysis of EWMA control charts. Naval Research Logistics (NRL) 61:3, pages 223-237.
Crossref
Sung Won Han, Kwok‐Leung Tsui, Bancha Ariyajunya & Seoung Bum Kim. (2009) A comparison of CUSUM, EWMA, and temporal scan statistics for detection of increases in poisson rates. Quality and Reliability Engineering International 26:3, pages 279-289.
Crossref
Changliang Zou, Yukun Liu & Zhaojun Wang. (2008) Comparisons of control schemes for monitoring the means of processes subject to drifts. Metrika 70:2, pages 141-163.
Crossref
Olha Bodnar. 2007. Advances in Risk Management. Advances in Risk Management 241 264 .
Dong Han & Fugee Tsung. (2004) A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes. The Annals of Statistics 32:1.
Crossref
Sven Knoth & Wolfgang Schmid. 2004. Frontiers in Statistical Quality Control 7. Frontiers in Statistical Quality Control 7 210 236 .

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