PřF:M9121 Random Processes I - Course Information
M9121 Random Processes I
Faculty of ScienceAutumn 2010 - only for the accreditation
- Extent and Intensity
- 2/0/0. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Marie Forbelská, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science - Prerequisites
- Basics of the theory of probability, mathematical statistics, theory of estimation and the testing of hypothesis, elements of regression and correlation analysis.
- 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
- Mathematics - Economics (programme PřF, M-AM)
- Mathematics (programme PřF, M-MA, specialization Applied Mathematics)
- Mathematics (programme PřF, N-MA, specialization Applied Mathematics)
- Course objectives
- This course provides a foundation in the theory of stationary processes in both time and spectral domain. After the course, the students should understand the basics of the theory of stationary stochastic processes and use the decomposition techniques relating to random processes.
- Syllabus
- Basic characteristics of random process, properties of the autocovariance function, continuity, differentiation and integration, spectral representation, prediction, estimation of moment characteristics (mean, autocovariance and autocorrelation function), regression modelling of global and local trend, spectral analysis of random process.
- Literature
- BROCKWELL, Peter J. and Richard A. DAVIS. Time series :theory and methods. 2nd ed. New York: Springer-Verlag, 1991, xvi, 577 s. ISBN 0-387-97429-6. info
- CIPRA, Tomáš. Analýza časových řad s aplikacemi v ekonomii. 1. vyd. Praha: Alfa, Státní nakladatelství technické literatury, 1986, 246 s., ob. info
- ANDĚL, Jiří. Statistická analýza časových řad. Praha: SNTL, 1976. info
- HAMILTON, James Douglas. Time series analysis. Princeton, N.J.: Princeton University Press, 1994, xiv, 799 s. ISBN 0-691-04289-6. info
- Teaching methods
- Lectures: theoretical explanation with practical examples
Exercises: solving problems for understanding of basic concepts and theorems, contains also more complex problems. - Assessment methods
- Lecture, oral examination.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every week. - Listed among pre-requisites of other courses
- Enrolment Statistics (Autumn 2010 - only for the accreditation, recent)
- Permalink: https://is.muni.cz/course/sci/autumn2010-onlyfortheaccreditation/M9121