Document Type

Thesis

Degree

Master of Science (MS)

Department

Statistics

First Advisor's Name

Ling Chen

First Advisor's Committee Title

Committee Chair

Second Advisor's Name

Hassan Zahedi

Third Advisor's Name

Samuel Shapiro

Fourth Advisor's Name

Gary M. Rand

Date of Defense

3-26-2003

Abstract

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.

Identifier

FI14060167

Comments

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