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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 39, 2007 - Issue 4
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Articles

Exploratory Data Analysis in Quality-Improvement Projects

Jeroen De MastInstitute for Business and Industrial Statistics of the University of Amsterdam (IBIS UvA) Plantage Muidergracht 24, 1018TVAmsterdam, The NetherlandsView further author information
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Albert TripInstitute for Business and Industrial Statistics of the University of Amsterdam (IBIS UvA) Plantage Muidergracht 24, 1018TVAmsterdam, The NetherlandsView further author information
Pages 301-311 | Published online: 21 Nov 2017

Citations (25)

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Roger Hoerl, Willis Jensen & Jeroen de Mast. (2021) Understanding and addressing complexity in problem solving. Quality Engineering 33:4, pages 612-626.
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Theodore T. Allen, Zhenhuan Sui & Kaveh Akbari. (2018) Exploratory text data analysis for quality hypothesis generation. Quality Engineering 30:4, pages 701-712.
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Ron S. Kenett. (2017) Discussion of “Optimizing in a complex world: A statistician's role in decision making”. Quality Engineering 29:1, pages 42-44.
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Kymm K. Hockman & Willis A. Jensen. (2016) Statisticians as innovation leaders. Quality Engineering 28:2, pages 165-174.
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Willis A. Jensen. (2016) Confirmation Runs in Design of Experiments. Journal of Quality Technology 48:2, pages 162-177.
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Jeroen De Mast. (2013) Diagnostic Quality Problem Solving: A Conceptual Framework and Six Strategies. Quality Management Journal 20:4, pages 21-36.
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Doug Sanders & Cheryl Hild. (2012) A Graphical Tool for Detection of Outliers in Completely Randomized, Unreplicated 2 and 2 - Factorials. Quality Engineering 24:4, pages 514-521.
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Theodore T. Allen & Ravishankar Rajagopalan. (2011) A Bayesian Plotting Method for Fractional Factorial Data Analysis. Journal of Quality Technology 43:3, pages 224-236.
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MatthewC. Wiener, Louis Obando & Julia O'Neill. (2010) Building Process Understanding for Vaccine Manufacturing Using Data Mining. Quality Engineering 22:3, pages 157-168.
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JamesR. Simpson. (2009) Discussion of “Principles of Exploratory Data Analysis in Problem Solving: What Can We Learn from a Well-Known Case?”. Quality Engineering 21:4, pages 376-379.
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Jeroen de Mast & BenjaminP. H. Kemper. (2009) Principles of Exploratory Data Analysis in Problem Solving: What Can We Learn from a Well-Known Case?. Quality Engineering 21:4, pages 366-375.
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Yifei Zhang, Theodore T. Allen & Ramiro Rodriguez Buno. Exploratory image data analysis for quality improvement hypothesis generation. Quality Engineering 0:0, pages 1-20.
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Articles from other publishers (13)

Matthew Barsalou, Pedro Manuel Saraiva & Roberto Henriques. (2023) Exploring Exploratory Data Analysis: An Empirical Test of Run Chart Utility. Management Systems in Production Engineering 31:4, pages 442-448.
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Matthew Barsalou. (2022) Criteria for the prioritization of hypotheses in root cause analysis. Quality and Reliability Engineering International 39:1, pages 132-142.
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Raghavendra Ganiga, Yonggang Kim, Raj Tulluri & Wooyeol Choi. (2023) Modeling EEG Signals for Mental Confusion Using DNN and LSTM With Custom Attention Layer. IEEE Access 11, pages 134663-134676.
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Binnu Kurian Mathew, C Velmurugan & V Vanitha. (2021) Estimating Most Influencing Parameter in TIG Welding of SS304 using Exploratory Data Analysis. Estimating Most Influencing Parameter in TIG Welding of SS304 using Exploratory Data Analysis.
Raguvir S & Shekar Babu. (2020) Analysis of software vulnerabilities using Exploratory Data Analysis (EDA). Analysis of software vulnerabilities using Exploratory Data Analysis (EDA).
Salim Chujfi & Christoph Meinel. (2019) Machine Learning and Human Cognition Combined to Enhance Knowledge Discovery Fidelity. Machine Learning and Human Cognition Combined to Enhance Knowledge Discovery Fidelity.
Mostafa Jalal, Rasool Moradi-Dastjerdi & Morteza Bidram. (2019) Big data in nanocomposites: ONN approach and mesh-free method for functionally graded carbon nanotube-reinforced composites. Journal of Computational Design and Engineering 6:2, pages 209-223.
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Sara Dahlin & Hendry Raharjo. (2019) Relationship between patient costs and patient pathways. International Journal of Health Care Quality Assurance 32:1, pages 246-261.
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Miki Matsumuro & Kazuhisa Miwa. 2019. Intelligent Tutoring Systems. Intelligent Tutoring Systems 123 132 .
Xiaohang Zhou, Lu Cao, Inamullah Khan & Qiao Li. (2018) Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification. Shock and Vibration 2018, pages 1-11.
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Julia Madrid, Johan Vallhagen, Rikard Söderberg & Kristina Wärmefjord. (2016) Enabling Reuse of Inspection Data to Support Robust Design: A Case in the Aerospace Industry. Procedia CIRP 43, pages 41-46.
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Jean‐François Plante & Gitte Bjørg Windfeldt. (2013) Using Predictive Risk for Process Control. Australian & New Zealand Journal of Statistics 54:4, pages 485-504.
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Jeroen de Mast. (2011) The tactical use of constraints and structure in diagnostic problem solving. Omega 39:6, pages 702-709.
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