MAR 536: Biological Statistics II

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.

Course information

4.00 credits
Section 01L1: Graduate Laboratory
Instructor(s): 

Location: SMASTE-247

Class: #14128

Tue, Jan 21, 2020 - Wed, Apr 29, 2020

Status: 

Course information

4.00 credits
Section 01: Graduate Lecture
Instructor(s): 

Location: SMASTE-247

Class: #14126

Tue, Jan 21, 2020 - Wed, Apr 29, 2020

Status: 

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