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Volumn 37, Issue 2, 2005, Pages 115-129

Response surface designs within a split-plot structure

Author keywords

Central Composite Designs; Design of Experiments; Split Plot Experiments

Indexed keywords

INDUSTRIAL ENGINEERING; MATHEMATICAL MODELS; MATRIX ALGEBRA; QUALITY CONTROL; RANDOM PROCESSES; STATISTICAL METHODS;

EID: 18144390871     PISSN: 00224065     EISSN: None     Source Type: Journal    
DOI: 10.1080/00224065.2005.11980310     Document Type: Article
Times cited : (110)

References (14)
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  • 4
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    • Multifactor experimental designs for exploring response surfaces
    • BOX, G. E. P. and HUNTER, J. S. (1957). "Multifactor Experimental Designs for Exploring Response Surfaces". Annals of Mathematical Statistics 28, pp. 195-241.
    • (1957) Annals of Mathematical Statistics , vol.28 , pp. 195-241
    • Box, G.E.P.1    Hunter, J.S.2
  • 5
    • 0343694849 scopus 로고    scopus 로고
    • Response surface designs where levels of some factors are difficult to change
    • DRAPER, N. R. and JOHN, J. A. (1998). "Response Surface Designs where Levels of Some Factors Are Difficult to Change". Australian and New Zealand Journal of Statistics 40, pp. 487-495.
    • (1998) Australian and New Zealand Journal of Statistics , vol.40 , pp. 487-495
    • Draper, N.R.1    John, J.A.2
  • 7
    • 0000433420 scopus 로고
    • Smallest composite design for quadratic response surfaces
    • HARTLEY, H. O. (1959). "Smallest Composite Design for Quadratic Response Surfaces". Biometrics 15, pp. 611-624.
    • (1959) Biometrics , vol.15 , pp. 611-624
    • Hartley, H.O.1
  • 8
    • 0036474103 scopus 로고    scopus 로고
    • Mixture experiments with process variables under restricted randomization
    • KOWALSKI, S. M.; CORNELL, J. A.; and VINING, G. G. (2002). "Mixture Experiments with Process Variables Under Restricted Randomization". Technometrics 44, pp. 72-79.
    • (2002) Technometrics , vol.44 , pp. 72-79
    • Kowalski, S.M.1    Cornell, J.A.2    Vining, G.G.3
  • 10
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    • A necessary and sufficient condition that ordinary least squares estimators be best linear unbiased
    • MCELROY, F. W. (1967). "A Necessary and Sufficient Condition that Ordinary Least Squares Estimators Be Best Linear Unbiased". Journal of the American Statistical Association 62, pp. 1302-1304.
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    • McElroy, F.W.1
  • 12
    • 0035253190 scopus 로고    scopus 로고
    • Multistratum response surface designs
    • TRINCA, L. A. and GILMOUR, S. G. (2001). "Multistratum Response Surface Designs". Technometrics 43, pp. 25-33.
    • (2001) Technometrics , vol.43 , pp. 25-33
    • Trinca, L.A.1    Gilmour, S.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.