UMass Dartmouth
Graduate
Course not available for
UMass Amherst, UMass Chan Medical School
Generalized linear models, inference of parameters in non-linear models, and Bayesian statistics. The course is designed for advanced graduate students in ecology and fisheries who want to study statistical theories in GLM and parameter inference, to infer parameters using the state-of -the art language (ADMB, BUG, R), and to develop his/her own models. Most models used in ecology and fisheries management are non-linear, and often many parameters are involved. The existing models/toolbox software are useful in research and practical management, but researchers often have their own unique problem, which those existing models cannot be used for.
Marine Sciences
Course Number
13662
Section
01
Credits
4
Instructor Name
Fay, Gavin
Instructor Email
gfay@umassd.edu
Prerequisite
An introductory graduate statistics course (e.g. MAR 535 Biological Statistics I or equivalent), or seek permission from the instructor.
Schedule & Modality
TuTh, 10:00 AM - 11:00 AM
Blended
Enrollment Numbers
Capacity
25