| Course ID: | STAT 8040. 3 hours. |
| Course Title: | Environmental Statistics |
Course
Description: | Methods for sampling the environment and analysis of
environmental data are considered. Techniques are presented for
estimation, hypothesis testing, and regression when data are
non-normal and/or dependent. Statistical methods based on
generalized linear models, linear mixed models, time series
analysis, and spatial data analysis are surveyed from an applied
perspective. |
| Oasis Title: | ENVIRON STATIST |
| Prerequisite: | STAT 6220 or STAT 4230/6230 or STAT 6315 or STAT 6320 or STAT 6420 or permission of department |
Semester Course
Offered: | Offered fall semester every even-numbered year. |
| Grading System: | A-F (Traditional) |
|
| Course Objectives: | Students will learn how to analyze environmental data that are
not normally distributed and/or dependent. Techniques are
presented in a very applied context suitable for quantitatively
oriented students from ecology, environmental health science,
forestry and other disciplines in the environmental sciences. |
| Topical Outline: | Sampling the environment: stratified sampling, sampling
temporal and spatial data, composite sampling, ranked-set
sampling.
Discrete and continuous distributions.
Estimation: method of moments, least squares, maximum
likelihood. Hypothesis testing via likelihood ratio and Wald
tests.
Regression via generalized linear models and linear mixed
models.
Time Series: autocorrelation function, time series models,
regression with time series errors.
Spatial Statistics: variograms, Kriging. |