PřF:M6120 Linear Models in Statistics II - Course Information
M6120 Linear Models in Statistics II
Faculty of ScienceSpring 2011
- Extent and Intensity
- 2/2/0. 4 credit(s) (příf plus uk k 1 zk 2 plus 1 > 4). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Gejza Wimmer, DrSc. (lecturer)
RNDr. Marie Forbelská, Ph.D. (seminar tutor)
Mgr. Ondřej Pokora, Ph.D. (seminar tutor) - Guaranteed by
- prof. RNDr. Gejza Wimmer, DrSc.
Department of Mathematics and Statistics – Departments – Faculty of Science - Timetable
- Wed 12:00–13:50 M1,01017
- Timetable of Seminar Groups:
M6120/02: Fri 8:00–9:50 MP2,01014a, M. Forbelská, O. Pokora
M6120/03: Fri 8:00–9:50 MP1,01014, M. Forbelská, O. Pokora - 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
- Mathematics - Economics (programme PřF, M-AM)
- 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
- 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, 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 2011, recent)
- Permalink: https://is.muni.cz/course/sci/spring2011/M6120