PřF:M6120 Linear Models in Statistics II - Course Information
M6120 Linear Models in Statistics II
Faculty of ScienceSpring 2009
- Extent and Intensity
- 2/2/0. 4 credit(s) (fasci plus compl plus > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Gejza Wimmer, DrSc. (lecturer)
Mgr. Pavla Krajíčková, Ph.D. (seminar tutor)
Mgr. Ondřej Pokora, Ph.D. (seminar tutor) - Guaranteed by
- prof. RNDr. Ivanka Horová, CSc.
Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Wed 11:00–12:50 M1,01017
- Timetable of Seminar Groups:
M6120/02: Wed 17:00–18:50 MP1,01014, P. Krajíčková
M6120/03: Tue 17:00–18:50 MP1,01014, P. Krajíčková - Prerequisites (in Czech)
- M5120 Linear Models in Statistics I
- 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
- Mathematical Biology (programme PřF, M-BI)
- Mathematics - Economics (programme PřF, M-AM)
- Mathematics (programme PřF, M-MA, specialization Applied Mathematics)
- Mathematics (programme PřF, N-MA, specialization Applied Mathematics)
- Course objectives
- The statistical course is focused on googness-of-fit tests, contingency tables, possibly singular linear regression models, analysis of variance. The explanation is fully based on matrix access. The practical applications of the course is very frequent in many branches.
- Syllabus
- Goodness-of-fit tests. Discrete multinomial distribution. Goodness-of-fit tests with unknown parameters. Contingency tables. Testing independency in contingency tables. Fisher's factorial test. Regular and singular linear model. Testing hypotheses in singular linear model. Testing of submodels. Analysis of variance. One-way classification. Two-way classification.
- Literature
- ANDĚL, Jiří. Matematická statistika. Vyd. 2. Praha: SNTL - nakladatelství technické literatury, Alfa, vydavatelstvo technickej a ekonomickej literatury, 1985, 346 s. URL info
- RAO, C. Radhakrishna. Lineární metody statistické indukce a jejich aplikace. Translated by Josef Machek. Vyd. 1. Praha: Academia, 1978, 666 s. URL info
- Assessment methods
- lecture, class exercises; 2 written tests; final grade: written and oral examination
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2009, recent)
- Permalink: https://is.muni.cz/course/sci/spring2009/M6120