Subject: Computational Statistical Models	Code: MC269	

Semester	 Hours: C+S+L	Type	 Section	
1	2+2+1	compulsory	Modeling and Simulation  - in English	

Teaching Staff in Charge	Prof. BLAGA Petru, Ph.D., pblaga@cs.ubbcluj.ro	
Aims	Knowledge and simulation of some statistical models oriented on software product	
Content	1.	Statistical models and software for statistical models: basics of probability 
        and statistics, random generators, Matlab procedures for probability and 
        statistics 
2.	Procedures for  statistical data  representations: statistical tables, 
        statistical distributions, graphical presentations of statistical data.
3.	Descriptive statistics by Matlab. Simulation by Matlab.
4.	Models for statistical estimation: parameter estimators by maximum likelihood 
        method, and confidence intervals.  
5.	Models for statistical hypotheses: hypotheses testing for expectations, 
        hypotheses testing for variances, goodness-of-fit tests, tests for two and more 
        populations. 
6.	Multiple linear regression: linear general model, Gauss-Markov model, classical 
        linear model. 
7.	Generalized linear regression.
8.	Analysis of variance: one way analysis, two-way analysis (without interaction, 
        with interaction).	
Selective References	 1. Agratini, O., Blaga, P., Coman, Gh., Lectures on Wavelets, Numerical Methods, and 
    Statistics, Casa Cartii de Stiinta, Cluj-Napoca, 2005
 2. Blaga, P., Statistica... prin Matlab, Presa Universitara Clujeana, Cluj-Napoca, 2002.
 3. Lebart, L., Morineau, M. G., Fenelon, J.-P., Traitment des donnees statistiques, 
   Dunod, Paris, 1982.
 4. Lehmann, E. L., Testing statistical hypotheses, Springer, New York, 1997.
 5. Montgomery, D. C., Peck, E. A., Vining, G. G., Introduction to linear analysis, John 
    Wiley & Sons (3rd ed.), New York, 2001.
 6. Saporta, G., Probabilites, analyse des donnees et statistique, Edition Technip, 
    Paris, 1990.
 7. Tassi, Ph., Methodes statistiques, Economica (2n ed.), Paris, 1989.
 8. Schverish, M. J., Theory of statistics, Springer, New York, 1995.
 9. Stapleton, J. H., Linear statistical models, John Wiley & Sons, New York, 1995.
10. Weerahndi, S., Exact statistical methods for data analysis, Springer, New York, 1994	
Assessment	Exam:            80%
Practical works: 20