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Kernel Smoothing in Quantal Bioassay

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2003Publisher:Japanese Society of Applied StatisticsJournal:Japanese journal of applied statistics, volume 32, pages 127-144 (issn: 0285-0370, eissn: 1883-8081, Copyright policy )
Authors: Hidenori Okumura; Kanta Naito;

doi: 10.5023/jappstat.32.127

Kernel Smoothing in Quantal Bioassay

Abstract

A nonparametric method for the estimation of effective doses by kernel smoothing is proposed. The estimator of the dose and its asymptotic confidence interval are given. The estimation is based on the asymptotic properties of the proposed kernel estimator of dose response curves. The proposed method is compared with methods based on other kernel estimators and the parametric method via a simulation study, and is illustrated by applications to real data sets.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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