Environmental statistics graduate programs




















Also links by subject to statistics from other federal agencies. Notes for Richard. From the Author's Introduction: "This course covers a number of areas of applied statistics which are relevant in environmental research.

Statistical themes include spatial statistics,time series analysis and extreme values. Environmental themes include climate change, atmospheric pollution, issues of data collection and interpretation including the design of a monitoring network, and the assessment of probabilities associated with extreme events such as floodsand hurricanes.

Pierre Legendre's Homepage. Peter Diggle's Homepage. This route may provide the best preparation for someone working on interdisciplinary teams. Biostatistics: The concentration in biostatistics will provide training in statistical methods useful in the design and analysis of studies conducted in medical research, the pharmaceutical industry, and the area of public health.

Students will learn fundamentals of clinical trials and epidemiological studies and will be exposed to recent advances in statistical methods for the analysis of time-to-event, categorical and longitudinal data. Environmental Statistics: Students in the environmental statistics concentration should be involved with research and consulting in the environmental area and interact with environmental scientists. This may be accomplished through projects of the department or university or through internships with the Environmental Protection Agency and the National Institute of Statistical Sciences in Research Triangle Park.

Statistical Genetics: The statistical genetics concentration is appropriate for those who are interested in the relevance of genetic data to areas that include genomic science, medicine and agriculture. This is a different program from the Master of Bioinformatics program. Financial Concentration: The financial concentration complements the statistics core courses with electives related to the analysis, interpretation and understanding of financial data. This is a different program from the Master of Financial Mathematics program or the Master of Economics program.

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