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Environmental Statistics: Stat 662
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About the Course
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This 3-credit course is taught every other Spring quarter in
even years. The next time it is
taught will be Spring quarter
2010. The course is taught at an MS level.
Prerequisites for the course are graduate standing in Statistics,
or STAT 529, or GEOG 683, or GEOG 883.01, or equivalent.
Environmental Statistics (Stat 662) in Spring 2008
The lectures present a survey of statistical methods for
environmental data, with a focus on applications. Topics include
sampling, regression, censoring, risk analysis, bioassay, time
series, and spatial statistics.
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Specific Topics
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- Environmental Sampling:
Finite population sampling, cluster sampling, composite
sampling, rank set sampling, quadrant sampling,
capture-recapture methods, line (transect) sampling.
- Models for Environmental Data:
Likelihood analysis, linear regression.
- Toxicology/Risk Assessment:
Limits of detection, relative risk.
- Time Series Analysis:
Regression models, the autocorrelation function,
autoregressive models.
- Spatial Statistics:
Variogram estimation, kriging, spatial linear model.
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