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Journal of Statistical Computation and Simulation Volume 69, 2001 - Issue 2
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Original Articles

Average run length comparison of multivariate control charts

Amir Javaheri Manufacturing Technology, Indiana University-Purdue University Fort Wayne, Fort Wayne, IN, 46805-1499Correspondence[email protected]
&
Ali A. Houshmand Associate Provost Academic Affairs, Professor of Engineering Management, Drexel University, Philadelphia, PA, 19104-2875
Pages 125-140 | Published online: 20 Mar 2007

Citations (6)

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Read on this site (3)

Yanjing Ou, Nan Chen & Michael B.C. Khoo. (2015) An efficient multivariate control charting mechanism based on SPRT. International Journal of Production Research 53:7, pages 1937-1949.
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Manuel Vargas, José Luis Alfaro & José Mondéjar. (2009) On the Run Length of a State-Space Control Chart for Multivariate Autocorrelated Data. Communications in Statistics - Simulation and Computation 38:9, pages 1823-1833.
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E. Andersson. (2009) Effect of Dependency in Systems for Multivariate Surveillance. Communications in Statistics - Simulation and Computation 38:3, pages 454-472.
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Articles from other publishers (3)

Hakan Eygü. 2022. Advances in Econometrics, Operational Research, Data Science and Actuarial Studies. Advances in Econometrics, Operational Research, Data Science and Actuarial Studies 99 115 .
Hai Yu Wang. (2011) Multivariate Statistical Process Control with Multi-Dots Alarm Rules. Applied Mechanics and Materials 120, pages 275-279.
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Nong Ye, Connie M. Borror & Darshit Parmar. (2003) Scalable Chi‐Square Distance versus Conventional Statistical Distance for Process Monitoring with Uncorrelated Data Variables. Quality and Reliability Engineering International 19:6, pages 505-515.
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