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Quality Technology & Quantitative Management Volume 4, 2007 - Issue 3
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Original Articles

The Change Point Model: SPC Method for Short Run Autocorrelated Data

Abdelmonem SnoussiUniversité de Tunis Institut Supérieur de Gestion de Tunis 41, Rue de la Liberté, Cité Bouchoucha, Bardo 2000 Tunis, TunisiaView further author information
&
Mohamed LimamUniversité de Tunis Institut Supérieur de Gestion de Tunis 41, Rue de la Liberté, Cité Bouchoucha, Bardo 2000 Tunis, TunisiaView further author information
Pages 313-329 | Received 01 Mar 2005, Accepted 01 Jan 2006, Published online: 09 Feb 2016

Citations (5)

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Read on this site (1)

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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Articles from other publishers (4)

Seiya Kadoishi & Hironobu Kawamura. (2022) Hierarchical Bayesian Control Charts Based on the Spatial Autoregressive Model. Total Quality Science 7:3, pages 190-200.
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Seiya Kadoishi & Hironobu Kawamura. (2020) <b>Control Charts Based on Hierarchical Bayesian Modeling</b>. Total Quality Science 5:2, pages 72-80.
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Pedro A. Marques, Carlos B. Cardeira, Paula Paranhos, Sousa Ribeiro & Helena Gouveia. (2015) Selection of the Most Suitable Statistical Process Control Approach for Short Production Runs: A Decision-Model. International Journal of Information and Education Technology 5:4, pages 303-310.
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Viviane Filgueiras, Enrique Luis Lima & José Carlos Pinto. (2013) Long-term statistical stability of industrial plants: Performance indicators and monitoring of an industrial pet plant. The Canadian Journal of Chemical Engineering 91:9, pages 1523-1537.
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