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Volumn 15, Issue 3, 2005, Pages 619-633

Designing experiments under random contamination with application to polynomial spline regression

Author keywords

Bias; Design selection criteria; Exchange algorithm; Mean squared error; Monte Carlo simulation; Optimal design; Polynomial splines

Indexed keywords


EID: 27144485770     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (16)
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  • 2
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  • 3
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    • Cook, R.D.1    Nachtsheim, C.J.2
  • 4
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    • All-bias designs for spline functions joined at the axes
    • Draper, N. R., Guttman, I. and Lipow, P. (1977). All-bias designs for spline functions joined at the axes. J. Amer. Statist. Assoc. 72, 424-429.
    • (1977) J. Amer. Statist. Assoc. , vol.72 , pp. 424-429
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  • 5
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    • Dumouchel, W.1    Jones, B.2
  • 8
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  • 9
    • 6344231913 scopus 로고    scopus 로고
    • Multifactor B-spline mixed models in designed experiments for the engine mapping problem
    • Grove, D. M., Woods, D. C. and Lewis, S. M. (2004). Multifactor B-spline mixed models in designed experiments for the engine mapping problem. J. Qual. Technol. 36, 380-391.
    • (2004) J. Qual. Technol. , vol.36 , pp. 380-391
    • Grove, D.M.1    Woods, D.C.2    Lewis, S.M.3
  • 10
    • 0035628923 scopus 로고    scopus 로고
    • Restricted minimax robust designs for misspecified linear models
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  • 13
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    • Optimal designs for regression models with possible bias
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  • 14
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    • A mean squared error criterion for the design of experiments
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.