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Volumn 78, Issue 1-2, 1999, Pages 205-218

Designing the future: A simple algorithm for sequential design of a generalized linear model

Author keywords

Bioassay; Extreme quantiles; Generalized linear models; Optimal design; Sequential design

Indexed keywords


EID: 0033130383     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-3758(98)00214-6     Document Type: Article
Times cited : (1)

References (12)
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    • Gould, A.1    Lawless, J.F.2
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    • Optimal designs for dose response experiments in cancer research
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    • (1979) Biometrika , vol.66 , pp. 307-316
    • Hoel, P.G.1    Jennrich, R.I.2
  • 6
    • 0000448225 scopus 로고
    • Optimum Designs in regression problems
    • Keifer J., Wolfowitz J. Optimum Designs in regression problems. Ann. Math. Statist. 30:1959;271-294.
    • (1959) Ann. Math. Statist. , vol.30 , pp. 271-294
    • Keifer, J.1    Wolfowitz, J.2
  • 7
    • 0009198934 scopus 로고
    • The estimation of extreme quantiles in logit bioassay
    • McLeish D., Tosh D. The estimation of extreme quantiles in logit bioassay. Biometrika. 70:1983;625-632.
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    • McLeish, D.1    Tosh, D.2
  • 8
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    • Sequential designs in bioassay
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    • McLeish, D.L.1    Tosh, D.2
  • 9
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    • A log gamma model and its maximum likelihood estimation
    • Prentice R.L. A log gamma model and its maximum likelihood estimation. Biometrika. 61:1974;539-544.
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    • Prentice, R.L.1
  • 10
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    • Discrimination among some parametric models
    • Prentice R.L. Discrimination among some parametric models. Biometrika. 62:1975;607-614.
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    • Prentice, R.L.1
  • 11
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    • The sequential generation of D-optimum experimental designs
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  • 12
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    • Efficient sequential designs with binary data
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    • Wu, C.F.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.