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Volumn 38, Issue 8, 2011, Pages 1701-1715

Optimization of a product performance using mixture experiments including process variables

Author keywords

Information criterion; Linear regression; Mixture experiments; Optimization; Process variable

Indexed keywords


EID: 79958837664     PISSN: 02664763     EISSN: 13600532     Source Type: Journal    
DOI: 10.1080/02664763.2010.518370     Document Type: Article
Times cited : (11)

References (18)
  • 1
    • 0003576417 scopus 로고    scopus 로고
    • Model selection and multimodel inference: A practical information-theoretical approach
    • 2nd ed., Springer, NewYork
    • K.P. Burnham and D.R. Anderson, Model selection and multimodel inference: A practical information-theoretical approach, 2nd ed., Springer, NewYork, 2002.
    • (2002)
    • Burnham, K.P.1    Anderson, D.R.2
  • 2
    • 34547351437 scopus 로고    scopus 로고
    • Optimal designs for mixture-process experiments with control and noise variables
    • P.J. Chung, H.B. Goldfarb, and D.C. Montgomery, Optimal designs for mixture-process experiments with control and noise variables, J. Qual. Technol. 39 (2007), pp. 179-190.
    • (2007) J. Qual. Technol , vol.39 , pp. 179-190
    • Chung, P.J.1    Goldfarb, H.B.2    Montgomery, D.C.3
  • 4
    • 1642459805 scopus 로고    scopus 로고
    • Fitting a slack-variable model to mixture data: Some questions raised
    • J.A. Cornell, Fitting a slack-variable model to mixture data: Some questions raised, J. Qual. Technol. 32 (2000), pp. 133-147.
    • (2000) J. Qual. Technol , vol.32 , pp. 133-147
    • Cornell, J.A.1
  • 6
    • 1642519859 scopus 로고    scopus 로고
    • Two new mixture models: Living with collinearity but removing its influence
    • J.A. Cornell and J.W. Gorman, Two new mixture models: Living with collinearity but removing its influence, J. Qual. Technol. 35 (2003), pp. 78-88.
    • (2003) J. Qual. Technol , vol.35 , pp. 78-88
    • Cornell, J.A.1    Gorman, J.W.2
  • 7
    • 72149110052 scopus 로고    scopus 로고
    • Optimization of a product performance using mixture experiments
    • L.H.A. Dal Bello and A.F.C. Vieira, Optimization of a product performance using mixture experiments, J. Appl. Stat. 37 (2010), pp. 105-118.
    • (2010) J. Appl. Stat , vol.37 , pp. 105-118
    • Dal Bello, L.H.A.1    Vieira, A.F.C.2
  • 8
    • 1042304012 scopus 로고    scopus 로고
    • Mixture-process variable experiments with noise variables
    • H.B. Goldfarb, C.M. Borror, and D.C. Montgomery, Mixture-process variable experiments with noise variables, J. Qual. Technol. 35 (2003), pp. 393-405.
    • (2003) J. Qual. Technol , vol.35 , pp. 393-405
    • Goldfarb, H.B.1    Borror, C.M.2    Montgomery, D.C.3
  • 11
    • 70349119250 scopus 로고
    • Regression and time series model selection in small samples
    • C.M. Hurvich and C.-L. Tsai, Regression and time series model selection in small samples, Biometrika 76 (1989), pp. 297-307.
    • (1989) Biometrika , vol.76 , pp. 297-307
    • Hurvich, C.M.1    Tsai, C.-L.2
  • 12
    • 31344461856 scopus 로고    scopus 로고
    • Slack variable models versus Scheffé's mixture models
    • A.I. Khuri, Slack variable models versus Scheffé's mixture models, J. Appl. Stat. 32 (2005), pp. 887-908.
    • (2005) J. Appl. Stat , vol.32 , pp. 887-908
    • Khuri, A.I.1
  • 14
    • 0036474103 scopus 로고    scopus 로고
    • Split-plot designs and estimation methods for mixture experiments with process variables
    • S.M. Kowalski, J.A. Cornell, and G.G. Vinig, Split-plot designs and estimation methods for mixture experiments with process variables, Technometrics 44 (2002), pp. 72-79.
    • (2002) Technometrics , vol.44 , pp. 72-79
    • Kowalski, S.M.1    Cornell, J.A.2    Vinig, G.G.3
  • 17
    • 77955745347 scopus 로고    scopus 로고
    • 50 Years of mixture experiment research: 1955-2004
    • A.I. Khuri, ed.,World Scientific Publishing, Singapore
    • G.F. Piepel, 50 Years of mixture experiment research: 1955-2004, in Response Surface Methodology and Related Topics, A.I. Khuri, ed.,World Scientific Publishing, Singapore, 2004, pp. 283-327.
    • (2004) Response Surface Methodology and Related Topics , pp. 283-327
    • Piepel, G.F.1
  • 18
    • 33847188567 scopus 로고    scopus 로고
    • Modelling in mixture experiments including interactions with process variables
    • P. Prescott, Modelling in mixture experiments including interactions with process variables, Qual. Technol. Quant. Manag. 1 (2004), pp. 87-103.
    • (2004) Qual. Technol. Quant. Manag , vol.1 , pp. 87-103
    • Prescott, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.