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Volumn 27, Issue 4, 1999, Pages 751-770

Robust extrapolation designs and weights for biased regression models with heteroscedastic errors

Author keywords

Approximate linearity; Bioassay; D optimality; Dose response; Homoscedasticity; Prediction; Q optimality; Weighted least squares

Indexed keywords


EID: 0033264909     PISSN: 03195724     EISSN: None     Source Type: Journal    
DOI: 10.2307/3316129     Document Type: Article
Times cited : (13)

References (18)
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    • Dette, H.1    Wong, W.K.2
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    • Huber, P.J.1
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    • 0010673347 scopus 로고
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    • D. Krewski, M. Bickis, J. Kovar & D. L. Arnold (1986). Optimal experimental designs for low dose extrapolation. I. The case of zero background. Utilitas Mathematica, 29, 245-262.
    • (1986) Utilitas Mathematica , vol.29 , pp. 245-262
    • Krewski, D.1    Bickis, M.2    Kovar, J.3    Arnold, D.L.4
  • 11
    • 0039128303 scopus 로고
    • Some problems concerning experimental designs for extrapolation
    • T. D. Dwivedi, ed., Montreal: Concordia University Press
    • J. F. Lawless (1984). Some problems concerning experimental designs for extrapolation. In Topics in Applied Statistics, (T. D. Dwivedi, ed.), Montreal: Concordia University Press, pp. 357-366.
    • (1984) Topics in Applied Statistics , pp. 357-366
    • Lawless, J.F.1
  • 12
    • 0001927796 scopus 로고
    • Optimal robust designs: Linear regression in R
    • L. Pesotchinsky (1982). Optimal robust designs: linear regression in R . The Annals of Statistics, 10, 511-525.
    • (1982) The Annals of Statistics , vol.10 , pp. 511-525
    • Pesotchinsky, L.1
  • 13
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    • Optimal designs for minimax extrapolation
    • M. C. Spruill (1984). Optimal designs for minimax extrapolation. Journal of Multivariate Analysis, 15, 52-62.
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    • Optimal designs for multivariate polynomial extrapolation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.