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Nonparametric Inference for Bioassay

This thesis proposes some new model independent or nonparametric methods for estimating the dose-response curve and the effective dosage curve in the context of bioassay. The research problem is also of importance in environmental risk assessment and other areas of health sciences. It is shown in the thesis that our new nonparametric methods while bearing optimal asymptotic properties also exhibit strong finite sample performance. Although our specific emphasis is on bioassay and environmental risk assessment, the methodology developed in this dissertation applies broadly to general order restricted inference.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/222849
Date January 2012
CreatorsLin, Lizhen
ContributorsBhattacharya, Rabi N., Kennedy, Tom G., Piegorsch, Walter W., Watkins, Joseph C., Bhattacharya, Rabi N.
PublisherThe University of Arizona.
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
Typetext, Electronic Dissertation
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

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