The aim of this course is the study in some depth of a subject from any area of Statistics, Probability and Operational Research, which can be chosen after discussion with the students. The basic characteristic of this course is the active participation of students via presentations. Indicative subjects are: Distributions, Limit Theorems, Stochastic Processes, Simulation, Parametric Statistical Inference, Nonparametric Statistical Inference, Multivariate Statistics, Time Series Analysis, Bayesian Statistics, Reliability, Survival Analysis, Biostatistics, Operational Research, etc.

• Ross S. A first course in Probability. 2020
• Roussas G. A first course in Mathematical Statistics. Academic Press. 1997
• Mood A.M., Graybill F.A., Boes D.C., Introduction to the theory of Statistics. McGraw-Hill. 1974
• Rohatgi V.K. An introduction to probability theory and mathematical statistics. Wiley. 1976
• Casella G., Berger R.L. Statistical inference. Brooks/Cole. 2002
• Hollander M., Wolfe D.A., Chicken E. Nonparametric Statistical Methods. 2014
• Agresti A. An introduction to categorical data analysis. 2007
• Lawer G.F., Introduction to Stochastic Processes, Chapman and Hall/CRC, 2006
• Lawless J. F., Statistical Models and Methods for Lifetime Data. John Wiley & Sons, N.Y., 1982
• M. Law and D.D. Kelton, Simulation Modeling& Analysis, McGraw-Hill, 1991
• Anderson, T. W., An Introduction to Multivariate Statistical Methods, Wiley, 3rd ed., 2003.
• Agresti A., Statistical Methods for the Social Sciences, Pearson, 5^th, 2018
• Taha A. H., Operations Research: An Introduction, Pearson, 10^th, 2017
• Hillier F. S., Lieberman G. J., Introduction to Operations Research, McGraw-Hill, 8^th, 2004