Award Date

1-1-2007

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Mathematical Sciences

First Committee Member

Ashok K. Singh

Number of Pages

114

Abstract

Contaminant concentration data from Superfund sites is quite often positively skewed, and the log-normal theory based statistical procedures are typically used for such data. Recent work in the environmental statistics literature, however, has shown that the use of log-normal theory based formulas, such as the H-statistic confidence interval, is problematic. The performance of the H -- UCL in the presence of non -- detects in the sample is investigated via simulated examples. When comparing mean contaminant concentration at a site with that of the background, the 2-sample t-test on log-transformed data is commonly used. A part of this thesis deals with investigation of power of the t-test on log-transformed data by using Monte Carlo simulation.

Keywords

Analysis; Data; Distribution; Environmental; Lognormal

Controlled Subject

Statistics; Environmental engineering

File Format

pdf

File Size

911.36 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/3lba-cvak


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