Objectives: The course is designed to emphasise the principles of statistical modelling through the cycle of proposing a model, fitting it, criticising it, and modifying it. The use of graphical methods will also be stressed.

Introduction to S-Plus. The simple linear model: statistical inference for simple linear regression, estimation and model diagnostics; transformation models; interpretation of simple linear models. Multiple regression models: matrix formulation; estimation and diagnostics; outliers and measures of influence; variable selection. Models with indicator variables (including experimental designs).

On completion of this course students should have an understanding of and be able to apply the techniques outlined in the course description.

The following final assessment scheme is proposed:

• 2 Assignments, 10% (5% each)
• Midterm-exam, 25% or 0% (if redeemed)
• Three-hour final examination, 65% or 90% (if midterm redeemed)

Three contact hours per week plus private study time of at least 7 hours per week.

For further information please refer to http://ecocomm.anu.edu.au/courses/course.asp?code=STAT2008