Human health risk assessment is crucial to determine environmental impacts in surrounding areas and the damage that can harm the population. California has collected data on hazardous impacts in different counties in the state. These data compare variables at the population level. This thesis will introduce and emphasize the relationship between environmental science and the hazardous impacts using three techniques: gamma regression, decision trees, and hierarchical modeling. SAS will be used for statistical computing and visualization.
The target variable of the dataset may not always be normally distributed. It is possible that the distribution may be skewed. A gamma regression is fit to a positive response with a right-skewed distribution.
To proceed with variable selection and develop predictive models for the analysis, decision trees are used. Decision trees are either a binary or categorical recursive partitioning method that will produce tree-based models.
The last technique that is used in this analysis is hierarchical modeling. With multilevel models, group level predictors may be included to explore the reasons for the group variations.
Some files may require a special program or browser plug-in. More Information
|Commitee:||Safer, Alan, Suaray, Kagba|
|School:||California State University, Long Beach|
|Department:||Mathematics and Statistics|
|School Location:||United States -- California|
|Source:||MAI 58/04M(E), Masters Abstracts International|
|Subjects:||Statistics, Environmental science|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be