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Quality Engineering Volume 19, 2007 - Issue 4
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SPECIAL ISSUE: CONTRIBUTIONS FROM THE EUROPEAN NETWORK OF BUSINESS AND INDUSTRIAL STATISTICS

Quality QuandariesFootnote* Practical Time Series Modeling II

Søren Bisgaard Eugene M. Isenberg School of Management, University of Massachusetts Amherst and Institute for Business and Industrial Statistics, University of Amsterdam, The NetherlandsCorrespondence[email protected]
&
Murat Kulahci Eugene M. Isenberg School of Management, University of Massachusetts Amherst and Institute for Business and Industrial Statistics, University of Amsterdam, The Netherlands
Pages 393-400 | Published online: 30 Sep 2008

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Xin-Wei Huang & Takeshi Emura. (2021) Model diagnostic procedures for copula-based Markov chain models for statistical process control. Communications in Statistics - Simulation and Computation 50:8, pages 2345-2367.
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Takeshi Emura, Ting-Hsuan Long & Li-Hsien Sun. (2017) R routines for performing estimation and statistical process control under copula-based time series models. Communications in Statistics - Simulation and Computation 46:4, pages 3067-3087.
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Søren Bisgaard & Murat Kulahci. (2009) Quality Quandaries*: Time Series Model Selection and Parsimony. Quality Engineering 21:3, pages 341-353.
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S⊘ren Bisgaard & Murat Kulahci. (2008) Quality Quandaries∗: Forecasting with Seasonal Time Series Models. Quality Engineering 20:2, pages 250-260.
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Søren Bisgaard & Murat Kulahci. (2007) Quality Quandaries: Using a Time Series Model for Process Adjustment and Control. Quality Engineering 20:1, pages 134-141.
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Articles from other publishers (3)

Søren Bisgaard & Murat Kulahci. 2011. Time Series Analysis and Forecasting by Example. Time Series Analysis and Forecasting by Example 361 364 .
George E. P. Box, Alberto Luceño & María Del Carmen Paniagua‐Quiñones. 2009. Statistical Control by Monitoring and Adjustment. Statistical Control by Monitoring and Adjustment 307 320 .
M. B. Vermaat, R. J. M. M. Does & S. Bisgaard. (2008) EWMA control chart limits for first‐ and second‐order autoregressive processes. Quality and Reliability Engineering International 24:5, pages 573-584.
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