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STAT 574E/MATH 574E/CPH 574E - Environmental Statistics
Description: Statistical methods for environmental and ecological sciences, including nonlinear regression, generalized linear models, temporal analyses, spatial analyses/kriging, quantitative risk assessment.
Prerequisite(s):
STAT 571B/MATH 571B, or PSYC 507C, or equivalent.
This course in Environmental Statistics studies data analytic methods for problems in the environmental sciences. Targeted for intermediate-level graduate students in ecology, engineering, geology, geography, public health, pharmacology, toxicology, and associated disciplines, and to graduate students in statistics and biostatistics, it provides a foundation for applying environmetric approaches in scientific research and policy-driven investigations.
The course will meet Tuesdays and Thursdays from 2:00 - 3:15 pm. (Room 212 Biological Sciences West.)
The textbook is Wiley's Analyzing Environmental Data (2005). Additional online resources are available at the book's Companion/Support Website.
Material covered in the 2008 offering of the course will include:
simple & multiple linear regression
one- & two-factor ANOVA
nonlinear regression, incl. threshold & truncated models, growth curves, & rational polynomials
generalized linear models, incl. logistic regression and log-linear (Poisson) regression
time series, harmonic regression, and Fourier analysis
autogregressive temporal models
trend & intervention analysis
spatial data and spatial point patterns
spatial autocorrelation
variograms and kriging
environmental risk assessment
The course syllabus gives complete information.
Attendance
Students are expected to attend class. If important circumstances prevent this, it is the student's responsibility to find out what was covered in class, what was assigned for reading or homework, and what special announcements (if any) were made. "Excessive absence" in this class will be construed to be absence from more than 10 percent of the scheduled class sessions, whether excused or unexcused, and will be subject to Administrative Drop as per University policies.
Homework Assignments - Spring 2008
Homeworks using exercises from the textbook will typically require computer implementation. We will emphasize the SAS statistical package, although students are welcome to employ any suitable statistical software. SAS is available in various locations on the campus, as detailed by the Office of Student Computing Resources (OSCR). Students may also purchase individual licenses for the software from the University Bookstore, via the UA site license agreement. A useful introduction to SAS is given in The Little SAS Book (3rd Edn.; 2003) by Delwiche and Slaughter, available at various sources online.
Homeworks are due as assigned. No exceptions.
These assignments are subject to revision with prior notice.
Textbook
Date due Chapter Exercises
Feb. 5 1 1.1, 1.4, 1.5ab, 1.5c*, 1.7, 1.8ac, 1.9b, 1.10, 1.14abc
Feb. 21 2 2.4abd, 2.4c*, 2.7abcd, 2.7e*, 2.17, 2.23ab, 2.23c*
Feb. 26 1-2 Exam 1
Mar. 6 3 3.1a, 3.4a*, 3.5a, 3.6, 3.9, 3.12, 3.17aef(ignore parts c-d), 3.17b*, 3.18
Apr. 8 5 5.8a, 5.9, 5.12a, 5.18, 5.19, 5.20, 5.21, 5.23
Apr. 10 3,5 Exam 2
May 6 6 6.1, 6.6a, 6.9*, 6.13ae, 6.16a, 6.23, 6.26, 6.27, 6.28
May 13 Comprehensive Final Exam
* problem optional
Specialized Downloads - Spring 2008
Display slides:
Data sets:
Documents:
Student Responsibilities
- Read the sections of the text to be covered prior to the class.
- Attend class regularly. Arrive on time.
- Ask questions if you don't understand an issue.
- Attempt to do all assigned homework and writing assignments. (Come to Office Hours if encountering difficulty.)
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Statistics GIDP
The University of Arizona
1401 E University Blvd.
P.O. Box 210066
Admin. Bldg., Rm 303
Tucson, AZ 85721-0066
Tel: 520.621.8368
FAX: 520.621.8367
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