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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 36, 2004 - Issue 4
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Articles

Multifactor B-Spline Mixed Models in Designed Experiments for the Engine Mapping Problem

Daniel M. GroveUniversity of Southampton, SouthamptonSO17 1BJ, UKView further author information
,
David C. WoodsUniversity of Southampton, SouthamptonSO17 1BJ, UKView further author information
&
Susan M. LewisUniversity of Southampton, SouthamptonSO17 1BJ, UKView further author information
Pages 380-391 | Published online: 16 Feb 2018

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John J. Peterson, Timothy T. Kramer, Jeffrey D. Hofer & George Atkins. (2019) Opportunities and Challenges for Statisticians in Advanced Pharmaceutical Manufacturing. Statistics in Biopharmaceutical Research 11:2, pages 152-161.
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Saumuy Suriano, Hui Wang, Chenhui Shao, S. Jack Hu & Praveen Sekhar. (2015) Progressive measurement and monitoring for multi-resolution data in surface manufacturing considering spatial and cross correlations. IIE Transactions 47:10, pages 1033-1052.
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A. E Vine, S. M Lewis, A. M Dean & D Brunson. (2008) A Critical Assessment of Two-Stage Group Screening Through Industrial Experimentation. Technometrics 50:1, pages 15-25.
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J. Engel. (2008) Factorial Effects, Random Blocks, and Longitudinal Data: Two Simple Analysis Methods. Journal of Quality Technology 40:1, pages 97-108.
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Articles from other publishers (12)

Rong-Xian Yue, Xin Liu & Kashinath Chatterjee. (2023) D-optimal Designs for Multiresponse Linear Models with a Qualitative Factor Under General Covariance Structure. Acta Mathematicae Applicatae Sinica, English Series 39:4, pages 878-885.
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Jun Yu, Xiran Meng & Yaping Wang. (2023) Optimal designs for semi-parametric dose-response models under random contamination. Computational Statistics & Data Analysis 178, pages 107615.
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Arnaud Poinas & Rémi Bardenet. (2022) On proportional volume sampling for experimental design in general spaces. Statistics and Computing 33:1.
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Rong Pan & Moein Saleh. (2019) On designing experiments for a dynamic response modeled by regression splines. Applied Stochastic Models in Business and Industry 36:2, pages 251-267.
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Jie Ren & Hui Wang. (2019) Surface Variation Modeling by Fusing Multiresolution Spatially Nonstationary Data Under a Transfer Learning Framework. Journal of Manufacturing Science and Engineering 141:1.
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Mohammed Reza Kianifar, Felician Campean & Alastair Wood. (2015) Application of permutation genetic algorithm for sequential model building–model validation design of experiments. Soft Computing 20:8, pages 3023-3044.
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Mohammed Reza Kianifar, Felician Campean & Alastair Wood. (2014) PermGA algorithm for a sequential optimal space filling DoE framework. PermGA algorithm for a sequential optimal space filling DoE framework.
Mohammed Reza Kianifar, Loan Felician Campean & Dave Richardson. (2013) Sequential DoE Framework for Steady State Model Based Calibration. SAE International Journal of Engines 6:2, pages 843-855.
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S. Biedermann, H. Dette & D. C. Woods. (2011) Optimal design for additive partially nonlinear models. Biometrika 98:2, pages 449-458.
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Michele Gallo & Luigi D’Ambra. 2008. Data Analysis, Machine Learning and Applications. Data Analysis, Machine Learning and Applications 193 200 .
John A. J. Griffiths & Tom A. P. Bacon. Cold Characterisation Using a Model Based DoE Approach. Cold Characterisation Using a Model Based DoE Approach.
David Woods & Susan Lewis. (2006) ALL‐BIAS DESIGNS FOR POLYNOMIAL SPLINE REGRESSION MODELS. Australian & New Zealand Journal of Statistics 48:1, pages 49-58.
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