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Volumn 80, Issue 23-24, 2010, Pages 1947-1953

An adaptive nonparametric method in benchmark analysis for bioassay and environmental studies

Author keywords

Asymptotic normality; Benchmark analysis; Effective dosage; Mean integrated square error; Monotone dose response curve estimation

Indexed keywords


EID: 77958475688     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2010.08.024     Document Type: Article
Times cited : (15)

References (11)
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    • Bhattacharya, R., Lin, L., 2010. Nonparametric benchmark analysis in risk assessment: a comparative study by simulation and data analysis. Preprint.
    • (2010)
    • Bhattacharya, R.1    Lin, L.2
  • 6
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    • AS149 amalgamation of means in the case of simple ordering
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    • Cran, G.W.1
  • 7
    • 20444445161 scopus 로고    scopus 로고
    • A note on nonparametric estimation of the effective dose in quantal bioassay
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  • 8
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    • A finite sample comparison of nonparametric estimates of the effective dose in quantal bioassay
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    • (2010) J. Stat. Comput. Simul. , vol.80 , Issue.5 , pp. 527-544
    • Dette, H.1    Scheder, R.2
  • 9
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    • Kernel and probit estimation in quantal bioassay
    • Müller H.G., Schmitt T. Kernel and probit estimation in quantal bioassay. J. Amer. Statist. Assoc. 1988, 83(403):750-759.
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    • Müller, H.G.1    Schmitt, T.2
  • 10
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    • Parametric and nonparametric estimators of ED100α
    • Park D., Park S. Parametric and nonparametric estimators of ED100α. J. Stat. Comput. Simul. 2006, 76(8):661-672.
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    • Park, D.1    Park, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.