Applied Statistics

Research within this area is now undertaken by the:
and the
Previous Research Projects
- Approximations to nonlinear functions of random vectors
- Computing the distribution in normal variables
- Design and analysis of grazing and multi-tiered experiments
- Financial models
- Mixture type approaches to modelling binary choice
- Modelling of driver behaviour
- Regression models for animal abundance estimation
- Software reliability testing
- Standard errors for smoothed rank methods
- Stochastic target hitting time
