PřF:M8112 Multivariate statistical metho - Course Information
M8112 Multivariate statistical methods 2
Faculty of ScienceSpring 2016
- Extent and Intensity
- 0/2. 2 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Recommended Type of Completion: z (credit). Other types of completion: k (colloquium).
- Teacher(s)
- prof. RNDr. Gejza Wimmer, DrSc. (lecturer)
- Guaranteed by
- prof. RNDr. Gejza Wimmer, DrSc.
Department of Mathematics and Statistics – Departments – Faculty of Science
Supplier department: Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable of Seminar Groups
- M8112/01: Tue 12:00–13:50 M4,01024, G. Wimmer
- Prerequisites
- Linear statstical methods I, II, basic course of probability theory and mathematical statistics (for students not attending lectures Linear statistical methods I, II)
- Course Enrolment Limitations
- The course is offered to students of any study field.
- Course objectives
- Student will be familiar with the basic statistical distributions arising in multivariate statistical analysis, with the basic multivariate regression model, with testing the hypothesis in the multivariate regression model, with confidence intervals for parameters in multivariate regression model. Student will master the basic multivariate statistical procedures, understand them theoretically and to apply them.
- Syllabus
- Distribution of quadratic forms; Wishart distribution; Hotelling distribution; other distributions that occur in multivariate statistical analysis; maximum likelihood method; multivariate regression analysis; multivariate analysis of variance.
- Literature
- LAMOŠ, František and Rastislav POTOCKÝ. Pravdepodobnosť a matematická štatistika :štatistické analýzy. 1. vyd. Bratislava: Alfa, vydavateľstvo technickej a ekonomickej literatúry, 1989, 342 s. ISBN 80-05-00115-0. info
- ANDĚL, Jiří. Matematická statistika. Praha: SNTL - Nakladatelství technické literatury, 1985. info
- RAO, C. Radhakrishna. Lineární metody statistické indukce a jejich aplikace. Translated by Josef Machek. Vyd. 1. Praha: Academia, 1978, 666 s. URL info
- Teaching methods
- seminars, solving individual problems, presentation of a studied topic
- Assessment methods
- attendance at the seminars, presentation of a self studied topic
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught once in two years.
- Enrolment Statistics (Spring 2016, recent)
- Permalink: https://is.muni.cz/course/sci/spring2016/M8112