Nonparametric assessment of safety levels in ecological risk assessment (ERA)

In ecological risk assessment (ERA), it is important to know whether the exposure that animal species receive from a chemical concentration exceeds the desired safety level. This study examined several statistical methods currently being used in ecological risk assessment and reviewed several statis...

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Main Author:	Chen, Limei
Format:	Others
Published:	FIU Digital Commons 2003
Subjects:	Statistics and Probability
Online Access:	http://digitalcommons.fiu.edu/etd/2135 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=3389&context=etd

id	ndltd-fiu.edu-oai-digitalcommons.fiu.edu-etd-3389
record_format	oai_dc
spelling	ndltd-fiu.edu-oai-digitalcommons.fiu.edu-etd-33892018-01-05T15:32:04Z Nonparametric assessment of safety levels in ecological risk assessment (ERA) Chen, Limei In ecological risk assessment (ERA), it is important to know whether the exposure that animal species receive from a chemical concentration exceeds the desired safety level. This study examined several statistical methods currently being used in ecological risk assessment and reviewed several statistical procedures related to this subject in the literature. Two large sample nonparametric tests were developed for this study. Monte Carlo study showed that these tests performed well even when the sample size was moderately large. A real data set was used to show that the new methodologies provide a good method for assessing the potential risks of pesticides residues at an investigated site. 2003-03-26T08:00:00Z text application/pdf http://digitalcommons.fiu.edu/etd/2135 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=3389&context=etd FIU Electronic Theses and Dissertations FIU Digital Commons Statistics and Probability
collection	NDLTD
format	Others
sources	NDLTD
topic	Statistics and Probability
spellingShingle	Statistics and Probability Chen, Limei Nonparametric assessment of safety levels in ecological risk assessment (ERA)
description	In ecological risk assessment (ERA), it is important to know whether the exposure that animal species receive from a chemical concentration exceeds the desired safety level. This study examined several statistical methods currently being used in ecological risk assessment and reviewed several statistical procedures related to this subject in the literature. Two large sample nonparametric tests were developed for this study. Monte Carlo study showed that these tests performed well even when the sample size was moderately large. A real data set was used to show that the new methodologies provide a good method for assessing the potential risks of pesticides residues at an investigated site.
author	Chen, Limei
author_facet	Chen, Limei
author_sort	Chen, Limei
title	Nonparametric assessment of safety levels in ecological risk assessment (ERA)
title_short	Nonparametric assessment of safety levels in ecological risk assessment (ERA)
title_full	Nonparametric assessment of safety levels in ecological risk assessment (ERA)
title_fullStr	Nonparametric assessment of safety levels in ecological risk assessment (ERA)
title_full_unstemmed	Nonparametric assessment of safety levels in ecological risk assessment (ERA)
title_sort	nonparametric assessment of safety levels in ecological risk assessment (era)
publisher	FIU Digital Commons
publishDate	2003
url	http://digitalcommons.fiu.edu/etd/2135 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=3389&context=etd
work_keys_str_mv	AT chenlimei nonparametricassessmentofsafetylevelsinecologicalriskassessmentera
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Nonparametric assessment of safety levels in ecological risk assessment (ERA)

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