F&ES 753a / 2018-2019

Regression Modeling of Ecological and Environmental Data

Credits: 3
Fall 2018: M,W, 10:30-11:50, Marsh Classroom
 

 
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. Three hours lecture. Statistical computing with R, weekly problem exercises.
 
Prerequisites for F&ES 753:
F&ES 510: Introduction to Statistics and Data Analysis in the Environmental Sciences
or equivalent