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Volumn 32, Issue 7, 2009, Pages 1-17

Response-surface methods in R, using RSM

Author keywords

Experimental design; First order designs; Regression; Response surface methods; Second order designs

Indexed keywords


EID: 70450159777     PISSN: 15487660     EISSN: 15487660     Source Type: Journal    
DOI: 10.18637/jss.v032.i07     Document Type: Article
Times cited : (413)

References (17)
  • 1
    • 84946657020 scopus 로고
    • Some New Three Level Designs for the Study of Quantitative Variables
    • Box GEP, Behnken DW (1960). Some New Three Level Designs for the Study of Quantitative Variables. Technometrics, 2, 455-475.
    • (1960) Technometrics , vol.2 , pp. 455-475
    • Box, G.E.P.1    Behnken, D.W.2
  • 3
    • 0004074760 scopus 로고    scopus 로고
    • Statistics for Experimenters: An Introduction to Design
    • 2nd edition. John Wiley & Sons, New York
    • Box GEP, Hunter WG, Hunter JS (2005). Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building. 2nd edition. John Wiley & Sons, New York.
    • (2005) Data Analysis, and Model Building
    • Box, G.E.P.1    Hunter, W.G.2    Hunter, J.S.3
  • 5
    • 84946639489 scopus 로고
    • 'Ridge Analysis' of Response Surfaces
    • Draper NR (1963). 'Ridge Analysis' of Response Surfaces. Technometrics, 5, 469-479.
    • (1963) Technometrics , vol.5 , pp. 469-479
    • Draper, N.R.1
  • 6
    • 0001266945 scopus 로고
    • A Review of Response Surface Methodology: A Literature Review
    • Hill WJ, Hunter WG (1989). A Review of Response Surface Methodology: A Literature Review. Technometrics, 8, 571-590.
    • (1989) Technometrics , vol.8 , pp. 571-590
    • Hill, W.J.1    Hunter, W.G.2
  • 7
    • 0003289229 scopus 로고
    • Optimum Solution of Many Variables Equations
    • Hoerl AE (1959). Optimum Solution of Many Variables Equations. Chemical Engineering Progress, 55, 67-78.
    • (1959) Chemical Engineering Progress , vol.55 , pp. 67-78
    • Hoerl, A.E.1
  • 12
    • 70149113077 scopus 로고    scopus 로고
    • R Development Core Team, R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0
    • R Development Core Team (2009). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
    • (2009) R: A Language and Environment for Statistical Computing
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.