STAT 6860 - Regulatory Environmental Statistics

This is a course in regulatory environmental statistics, with a primary focus on statistical methods recommended by the United States Environmental Protection Agency (EPA) and by various State environmental regulatory agencies. Particular emphasis is devoted to the normal, lognormal, and non-parametric probability models for fitting environmental data, which are methods recommended in several EPA guidance documents. Descriptive, graphical and model adequacy methods include: box-plots, normal probability plots, q-q plots, outlier tests, and goodness-of-fit tests. Statistical inference methods include prediction intervals, tolerance intervals, analysis of variance, and upper and lower confidence intervals for both parametric and non-parametric models. The use of correlation analyses, trend analyses, control charts, and multiple regression analyses may be illustrated. Emphasis will be devoted to the proper analysis of censored or non-detect environmental data. The SAS, SPULS, or other statistical packages may be utilized. Emphasis may be placed on report-writing and oral presentations with real data collected in actual regulatory environmental contexts.

Prerequisites/Corequisites: Prerequisites: STAT 5620 or STAT 6620 or instructor approval.

Credits: 3 hours

Notes: Open to Graduate students only.

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