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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 28, 1996 - Issue 2
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Articles

Experimental Designs for Estimating Both Mean and Variance Functions

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Pages 135-147 | Published online: 21 Feb 2018

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Read on this site (13)

Guodong Wang, Xiaoyang Li, Guanqi Fang, Zhen He & Geoff Vining. (2023) Optimal design for reliability improvement experiments with a non-constant scale parameter. Quality Technology & Quantitative Management 0:0, pages 1-18.
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Georgia Mueller & Steven E. Rigdon. (2015) The Constant Shape Parameter Assumption in Weibull Regression. Quality Engineering 27:3, pages 374-392.
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DouglasC. Montgomery. (2014) Stu Hunter's Contributions to Experimental Design and Quality Engineering. Quality Engineering 26:1, pages 5-15.
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David Aspenberg (né Lönn)Johan Jergeus & Larsgunnar Nilsson. (2013) Robust optimization of front members in a full frontal car impact. Engineering Optimization 45:3, pages 245-264.
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RachelT. Silvestrini & PeterA. Parker. (2012) Aerospace Research through Statistical Engineering. Quality Engineering 24:2, pages 292-305.
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David Lönn, Greger Bergman, Larsgunnar Nilsson & Kjell Simonsson. (2011) Experimental and finite element robustness studies of a bumper system subjected to an offset impact loading. International Journal of Crashworthiness 16:2, pages 155-168.
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Raymond H. Myers, Douglas C. Montgomery, G. Geoffrey Vining, Connie M. Borror & Scott M. Kowalski. (2004) Response Surface Methodology: A Retrospective and Literature Survey. Journal of Quality Technology 36:1, pages 53-77.
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L. C. Tang & K. Xu. (2002) A Unified Approach for Dual Response Surface Optimization. Journal of Quality Technology 34:4, pages 437-447.
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Darcy P. Mays. (1999) Optimal Central Composite Designs in the Presence of Dispersion Effects. Journal of Quality Technology 31:4, pages 398-407.
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Raymond H. Myers. (1999) Response Surface Methodology—Current Status and Future Directions. Journal of Quality Technology 31:1, pages 30-44.
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Darcy P. Mays & Karen R. Schwartz. (1998) Two-stage central composite designs with dispersion effects. Journal of Statistical Computation and Simulation 61:3, pages 191-218.
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G. Geoffrey Vining & Lora L. Bohn. (1998) Response Surfaces for the Mean and Variance Using a Nonparametric Approach. Journal of Quality Technology 30:3, pages 282-291.
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Articles from other publishers (15)

Wei Jiang, Terrence E. Murphy, Kwok-Leung Tsui & Yang Zhao. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 199 220 .
Guodong Wang, Mengying Shao, Qingan Cui, Shanshan Lv, Zhen He & Geoff Vining. (2021) Dual-response optimization for lifetime improvement experimental designs. Computers & Industrial Engineering 158, pages 107437.
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David Lönn, Ørjan Fyllingen & Larsgunnar Nilssona. (2010) An approach to robust optimization of impact problems using random samples and meta-modelling. International Journal of Impact Engineering 37:6, pages 723-734.
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Myrta Rodriguez, Douglas C. Montgomery & Connie M. Borror. (2009) Generating experimental designs involving control and noise variables using genetic algorithms. Quality and Reliability Engineering International 25:8, pages 1045-1065.
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Rachel T. Johnson, Peter A. Parker, Douglas C. Montgomery, Andrew D. Cutler, Paul M. Danehy & Ray D. Rhew. (2008) Design strategies for response surface models for the study of supersonic combustion. Quality and Reliability Engineering International 25:3, pages 365-377.
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Alessandro Baldi Antognini, Alessandra Giovagnoli, Daniele Romano & Maroussa Zagoraiou. 2009. Statistics for Innovation. Statistics for Innovation 65 88 .
Alessandra Giovagnoli & Daniele Romano. (2008) Robust design via simulation experiments: a modified dual response surface approach. Quality and Reliability Engineering International 24:4, pages 401-416.
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R. Romero-Villafranca, L. Zúnica & R. Romero-Zúnica. (2007) -optimal experimental plans for robust parameter design. Journal of Statistical Planning and Inference 137:4, pages 1488-1495.
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Scott M. Kowalski, G. Geoffrey Vining, Douglas C. Montgomery & Connie M. Borror. (2006) Modifying a Central Composite Design to Model the Process Mean and Variance When there are Hard-to-Change Factors. Journal of the Royal Statistical Society Series C: Applied Statistics 55:5, pages 615-630.
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Wei Jiang, Terrence Murphy & Kwok-Leung Tsui. 2006. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 173 192 .
Bruce E. Ankenman & Angela M. Dean. 2003. Statistics in Industry. Statistics in Industry 263 317 .
Lieven Tack, Peter Goos & Martina Vandebroek. (2002) Efficient Bayesian designs under heteroscedasticity. Journal of Statistical Planning and Inference 104:2, pages 469-483.
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P Goos, L Tack & M Vandebroek. (2001) Optimal designs for variance function estimation using sample variances. Journal of Statistical Planning and Inference 92:1-2, pages 233-252.
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Young Jin Kim & Byung Rae Cho. (2000) Economic considerations on parameter design. Quality and Reliability Engineering International 16:6, pages 501-514.
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Douglas C. Montgomery, J. Bert Keats, Leonard A. Perry, James R. Thompson & William S. Messina. (2000) Using statistically designed experiments for process development and improvement: an application in electronics manufacturing. Robotics and Computer-Integrated Manufacturing 16:1, pages 55-63.
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