MU:MU03243 Probability and Statistics II - Course Information
MU03243 Probability and Statistics II
Mathematical Institute in OpavaSummer 2014
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Tomáš Kopf, Ph.D. (lecturer)
doc. Ing. Petr Seďa, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Tomáš Kopf, Ph.D.
Mathematical Institute in Opava - Prerequisites (in Czech)
- MU00009 || MU01133 Probability and Statistics || MU10133 Probability and Statistics
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Mathematics (programme MU, B1101)
- Applied Mathematics in Risk Management (programme MU, B1101)
- Mathematical Methods in Economics (programme MU, B1101)
- Mathematics (programme MU, B1101)
- Course objectives
- To provide further attainments of mathematical statistics and essentials of stochastic processes theory.
- Syllabus
- Regression and correlation analysis
Linear and non-linear regression. Regression with multiple parameters.
Analysis of variance (ANOVA)
with a single or multiple factors.
Factor analysis
Explorative factor analysis, principal component analysis (PCA).
Confirmative analysis. Principal factor analysis.
Cluster analysis
Non-hierarchical, hierarchical clustering
Time series analysis
Transformation of uneven time series. Moving averages.
Time series decomposition.
Linear prediction.
AR(p), MA(q) a ARMA(p,q) models.
- Regression and correlation analysis
- Literature
- recommended literature
- Anděl J. Statistické metody. MatFyzPress, Praha, 2007. ISBN 80-7378-001-1. info
- Anděl J. Základy matematické statistiky. MatFyzPress, Praha, 2007. ISBN 80-7378-003-8. info
- Š. Peško, J. Smieško. Stochastické modely operačnej analýzy. Žilinská univerzita, Žilina, 1999. ISBN 80-7100-570-3. info
- F. S. Hilier, G. J. Lieberman. Introduction to stochastic models in operations reseach. McGraw Hill, 1990. info
- Mandl, P. Pravděpodobnostní dynamické modely. Academia, Praha, 1985. info
- J. Likeš, J. Machek. Matematická statistika. Praha, 1983. info
- J. Likeš, J. Machek. Počet pravděpodobnosti. Praha, 1982. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- Requierements for pre-exam credits are defined by lecturer. In principle, students should be able to solve simple practical problems. During the course of exam, essential theoretical attainments are required.
- Enrolment Statistics (Summer 2014, recent)
- Permalink: https://is.slu.cz/course/sumu/summer2014/MU03243