# Teaching

## 2009-10

Statistical Methods (MSc Applied Statistics) - introduction to
probability, statistical estimation, hypothesis testing, ANOVA, linear
regression and analysis of contingency tables. Ideas are illustrated
using Excel - spreadsheets can be found here.

Statistical Inference (MSc Applied Statistics) - introduction to
statistical models and the use of likelihood inference in parameter
estimation. Ideas are illustrated using Excel - spreadsheets can be
found here.

## 2008-09

Statistical Inference (MSc Applied Statistics) - introduction to
statistical models and the use of likelihood inference in parameter
estimation. Ideas are illustrated using Excel.

Extremes (MSc Statistics) - statistical models for extreme values,
including asymptotic motivation, using R.

Missing Data (MSc Applied Statistics) - introduction to the problems
faced with missing values and methods of imputations, the EM algorithm
and data augmentation, using SAS and WinBUGS.

## Supervision

### MSc
Dissertations

Carolynn Gildea 2009

Sotirios Koukoulas 2009

### PhD

Ioannis Papastathopoulos (joint with Jonathan Tawn) 2009-