F&ES 753a

Regression Modeling of Ecological and Environmental Data

2014-2015
Credits: 3 Fall 2014: M,W, 1:00-2:20, 380 Edwards
 
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This course in applied statistics assists scientific researchers in the analysis and interpretation of observational and field data. After considering the notion of a random variable, the statistical properties of linear transformations and linear combinations of random data are established. This serves as a foundation for the major topics of the course, which explore the estimation and fitting of linear and nonlinear regression models to observed data. Prerequisite: a course in introductory statistics. Three hours lecture. Statistical computing with R, weekly problem exercises

Prerequisites for F&ES 753:
F&ES 510: Introduction to Statistics in the Environmental Sciences
or equivalent