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Quality Engineering Volume 17, 2005 - Issue 4
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Original Articles

Quality Quandaries: Interpretation of Time Series ModelsFootnote*

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 Department of Industrial Engineering, Arizona State University, Arizona, USA
Pages 653-658 | Published online: 15 Feb 2007

Citations (10)

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Read on this site (6)

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: Box-Cox Transformations and Time Series Modeling—Part II. Quality Engineering 20:4, pages 516-523.
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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* Practical Time Series Modeling II. Quality Engineering 19:4, pages 393-400.
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S⊘ren Bisgaard & Murat Kulahci. (2007) Quality Quandaries∗: Practical Time Series Modeling. Quality Engineering 19:3, pages 253-262.
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Søren Bisgaard & Murat Kulahci. (2006) Quality Quandaries: Studying Input-Output Relationships, Part I. Quality Engineering 18:2, pages 273-281.
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Articles from other publishers (4)

Sediono, E Tjahjono & T D Maulana. (2019) Prediction of the number dengue hemorrhagic fever patients in district Jombang Regency using transfer function model approach. Journal of Physics: Conference Series 1277:1, pages 012049.
Crossref
Søren Bisgaard & Murat Kulahci. 2011. Time Series Analysis and Forecasting by Example. Time Series Analysis and Forecasting by Example 361 364 .
Christopher K. Wikle & Mevin B. Hooten. (2010) A general science-based framework for dynamical spatio-temporal models. TEST 19:3, pages 417-451.
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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 .

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