Checking date: 04/05/2018

Course: 2018/2019

Statistics for Economics and Business
Study: Master in Business and Finance (69)


Department assigned to the subject: Department of Statistics

Type: Compulsory
ECTS Credits: 5.0 ECTS


Competences and skills that will be acquired and learning results.
Description of contents: programme
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Basic Bibliography
  • Wasserman, L (2004). All of Statistics. Springer-Verlag. New York.
Additional Bibliography
  • Arnold, S.F. (1990). Mathematical Statistics. Prentice Hall. New York.
  • Bain, L.J. and Engelhardt, M. (2000). Introduction to Probability and Mathematical Statistics. Duxbury Classic. Boston.
  • Bickel, P.J. and Doksum, K.A. (2006). Mathematical Statistics- Second edition. Holden Day. San Francisco.
  • Casella, G. and Berger, R.L. (2012). Statistical Inference - Second edition. Wadsworth and Brooks/ Cole. San Francisco.
  • Dudewicz, E.J. and Mishra, S.N. (1988). Modern Mathematical Statistics. Wiley. New York.
  • Gibbons, J.D. and Chakraborti (2010). Nonparametric Statistical Inference. Fifth Edition. Marcel Dekker. New York.
  • Rice, J. (2006). Mathematical Statistics and Data Analysis. Third edition. Brooks and Cole. San Francisco.
  • Van der Vaart, A.W. (2001). Asymptotic Statistics. Cambridge University Press. Cambridge.

The course syllabus and the academic weekly planning may change due academic events or other reasons.