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Original Articles

Robust response surface design for quantitative and qualitative factors

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Pages 89-106 | Received 01 Jun 1996, Published online: 27 Jun 2007

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M. Hemavathi, Shashi Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal. (2022) Theoretical developments in response surface designs: an informative review and further thoughts. Communications in Statistics - Theory and Methods 51:7, pages 2009-2033.
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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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M.L. Aggarwal, B.C. Gupta & Anita Bansal. (2000) Small Robust Response-Surface Designs for Quantitative and Qualitative Factors. American Journal of Mathematical and Management Sciences 20:1-2, pages 103-130.
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Articles from other publishers (6)

Krishan Lal, Upendra Kumar Pradhan & V. K. Gupta. 2020. Statistical Methods and Applications in Forestry and Environmental Sciences. Statistical Methods and Applications in Forestry and Environmental Sciences 193 212 .
Cem Savas Aydin, Senim Ozgurler, Mehmet Bulent Durmusoglu & Mesut Ozgurler. (2018) Response surface approach to robust design of assembly cells through simulation. Assembly Automation 38:4, pages 450-464.
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Ali Salmasnia & Mahdi Bashiri. (2014) A new desirability function-based method for correlated multiple response optimization. The International Journal of Advanced Manufacturing Technology 76:5-8, pages 1047-1062.
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Gladius Lewis & Daniel M. Werdofa. (2015) Optimum Combination of Femoral Head Size, Femoral Head Material, and Acetabular Cup Liner’s Highly-Cross-Linked Polyethylene Brand for Hip Implant. Journal of Biomedical Science and Engineering 08:01, pages 31-39.
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André I. Khuri & Siuli Mukhopadhyay. (2010) Response surface methodology. Wiley Interdisciplinary Reviews: Computational Statistics 2:2, pages 128-149.
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Timothy J. Robinson, Connie M. Borror & Raymond H. Myers. (2003) Robust Parameter Design: A Review. Quality and Reliability Engineering International 20:1, pages 81-101.
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