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Ufa Mathematical Journal, 2013, Volume 5, Issue 2, Pages 94–108
DOI: https://doi.org/10.13108/2013-5-2-94
(Mi ufa201)
 

This article is cited in 5 scientific papers (total in 5 papers)

Nonparametric estimation of effective doses at quantal response

M. S. Tikhov

Lobachevsky State University of Nizhni Novgorod, Gagarin avenue, 23, 603950, Nizhni Novgorod, Russia
References:
Abstract: For the quantal response model we propose a new direct method for nonparametric estimation of the effective dose level $ED_{100\lambda}$ ($0 < \lambda < 1$). This method yields a simple and reliable monotone estimate of the effective dose level curve $\lambda\to ED_{100\lambda}$ and is appealing to users of conventional smoothing methods of kernel estimates. Moreover, it is computationally very efficient, because it does not require a numerical inversion of the estimate of the quantile dose response curve. We prove asymptotic normality of this new estimator and compare it with the DNP-estimator.
Keywords: binary response model, effective dose level, nonparametric estimate.
Received: 16.02.2012
Bibliographic databases:
Document Type: Article
UDC: 519.2
Language: English
Original paper language: Russian
Citation: M. S. Tikhov, “Nonparametric estimation of effective doses at quantal response”, Ufa Math. J., 5:2 (2013), 94–108
Citation in format AMSBIB
\Bibitem{Tik13}
\by M.~S.~Tikhov
\paper Nonparametric estimation of effective doses at quantal response
\jour Ufa Math. J.
\yr 2013
\vol 5
\issue 2
\pages 94--108
\mathnet{http://mi.mathnet.ru//eng/ufa201}
\crossref{https://doi.org/10.13108/2013-5-2-94}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=3430779}
\elib{https://elibrary.ru/item.asp?id=19063039}
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  • https://doi.org/10.13108/2013-5-2-94
  • https://www.mathnet.ru/eng/ufa/v5/i2/p94
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Уфимский математический журнал
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    Abstract page:2936
    Russian version PDF:2707
    English version PDF:15
    References:2558
    First page:2
     
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