Master in Statistics

Research in statistics covers Robust Statistics, Extreme Value Theory, Bayesian Modelling and Inference, Multivariate Analysis, Survival Analysis and Time Series. The main focus of research on Robust Statistics deals with robust diagnostic methods and robust parameters estimation in linear, nonlinear, logistic, generalized linear and response surface models, when data is contaminated with outliers. Robust Variable Selection Procedure, Robust Statistical Process Control and Robust Methods on panel data also the research interest in robust statistics. Meanwhile, Extreme Value Theory is used for modelling series of extreme data of observed physical processes.