Applied Nonlinear Regression Credit Hours: 3 hours Statistical modeling using nonlinear regression is considered. Topics include fixed-effects nonlinear regression models, nonlinear least squares, computational methods and practical matters, growth models, and compartmental models. Nonlinear mixed-effects models are discussed, including model interpretation, estimation and inference. Examples will be drawn from forestry, pharmaceutical sciences, and other fields. Offered fall semester every odd-numbered year. Prerequisites: STAT 4230/6230 or STAT 6320 or STAT 6420 or permission of department Level: Graduate
