Date of Defense

Spring 4-24-2000

Department

Statistics

First Advisor

Robert J. Buck, Mathematics & Statistics

Second Advisor

Michael R. Stoline, Mathematics & Statistics

Abstract

Exposure to environment contaminants is an issue of great concern. We are interested in the long term exposure but are limited to short term measurements. How reliable are these measurements? Generally health problems result only as a result of 'long-term' exposure above a certain critical level. The question then is: Are the same people always the ones with the highest exposure levels? We use the intraclass correlation coefficient to look at these questions. A randomization test is then used to determine if the correlation coefficients are significant.

Access Setting

Honors Thesis-Campus Only

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