Objectives: This course is intended to introduce students to generalised linear modelling methods for both discrete and continuous data reponse.

Review of multiple linear regression and the analysis of variance; use of transformations and weighting in linear models. Logistic regression for binary response data. Generalised linear models; estimation and inference using iteratively re-weighted least squares (IRLS). Poisson regression; loglinear models for contingency tables.

Three contact hours per week.

with STAT2009 Generalised Linear Modelling.

See course website:  http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3015

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT3015