Environmental Statistics: Stat 693C
(3 credit MS level course)

Information web-page for Stat 693C in Spring 2000

Information Computer labs Homework Bibliography Announcements

-- Information --

Final:
The final will be held in CH-312 from 1:30pm to 3:18pm on Tuesday, June 6th.


Instructor: Noel Cressie (ncressie@stat.ohio-state.edu)
408B Cockins Hall
Tel: 292-5194
Office Hours: Mon., Tues., Thurs., 11:30 a.m. - 12:18 p.m.
Prerequisite: Stat 530 or equivalent
Lectures: Tues., Thurs., 2:30 - 3:55 p.m.
(Sometimes a lab will be organized to replace a lecture time.)
Location: Cockins Hall 312
(labs are held in EA-285, when scheduled)
Teaching Assistant: Gardar Johannesson (gardar@stat.ohio-state.edu)
Office: 305A Cockins Hall
Off. Hrs.: 1:30 p.m. - 2:18 p.m. Tues., Thurs.
Assessment:
Homework (exercises and lab)35%
Mid-term exam25%
Final Exam40%
Grades: S/U, where I consider S = A, A-, B+, B, or B- and U = C+ or below.
Course Material: Lecture notes represent the examinable parts of the course; there is no textbook. The statistical prerequisite for the course is equivalent to Ch. 1-13 and Ch. 18, 19 of "The Statistical Sleuth" by Ramsay and Schafer, Duxbury Press, 1997. Other chapters in the book provide good background reading for the statistical methodology presented in this course.
Syllabus:
  • Introduction: Environmental/Ecological studies; Remote sensing; Measurement error; Experiment/observational study; Causality.
  • Toxicology: Bioassay; LD50; Likelihood analysis.
  • Risk Analysis: Relative risk; Risk communication and management.
  • Limits of Detection: Types of LODs; Quantile method; Likelihood analysis.
  • Spatial Statistics: Geostatistics; Kriging; Spatial linear model; Spatial sampling.
  • Hierarchical Models: Components of variance; Bayesian methodology.