MPM_VSM Multivariate Statistical Analysis

Faculty of Economics and Administration
Autumn 2023
Extent and Intensity
2/2/0. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Maria Králová, Ph.D. (lecturer)
doc. Mgr. Maria Králová, Ph.D. (seminar tutor)
Guaranteed by
doc. Mgr. Maria Králová, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Tue 16:00–17:50 P403, except Tue 19. 9., except Tue 7. 11.
  • Timetable of Seminar Groups:
MPM_VSM/01: Tue 18:00–19:50 VT204, except Tue 19. 9., except Tue 7. 11., M. Králová
Prerequisites
The basic terms in calculus of probability and mathematical statistics.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 50 student(s).
Current registration and enrolment status: enrolled: 11/50, only registered: 0/50, only registered with preference (fields directly associated with the programme): 0/50
fields of study / plans the course is directly associated with
Course objectives
At the end of the course students should be able to:
- to identify multivariate character of tasks
- be well versed in advanced multivariate statistical methods
- to asses assumptions of methods with respect to application context
Learning outcomes
After graduation of the course student should:
- be able to performe a competent selection of an appropriate method with regard to particular problems
- to perform analyses of assumptions
- solve tasks based on real data by means of sw. STATSTICA
- be able to interpret statistical analysis outputs
Syllabus
  • An Outline of Different Approaches to Ordinal Data Analysis
    Principal Component Analysis
    Factor Analysis
    Cluster Analysis
    Discriminant Analysis
    Canonical Correlation Analysis
    High Order ANOVA
    Introduction to Survival Analysis
    Tests and Regression in Survival Analysis
    Logistic and Ordinal Regression
Literature
    recommended literature
  • SOUKUP, Petr, Ladislav RABUŠIC and Petr MAREŠ. Statistická analýza sociálněvědních dat v R. 1. vydání. Brno: Masarykova univerzita, 2023, 491 stran. ISBN 9788028001506. URL info
  • SOUKUP, Petr. Pokročilá analýza dat v SPSS a AMOS. 1st ed. Brno: Masarykova univerzita, 2022, 285 pp. ISBN 978-80-210-9935-7. info
  • MELOUN, Milan, Jiří MILITKÝ and Martin HILL. Počítačová analýza vícerozměrných dat v příkladech. Vyd. 1. Praha: Academia, 2005, 449 s. ISBN 8020013350. info
Teaching methods
theoretical lectures; computer-aided seminar sessions
Assessment methods
The final grade is given by the score of the final test. The requirement for taking the test is: to be active at seminar sessions which are compulsory.
For Erazmus students: online participation at seminars via MS Teams, active participation at seminar work project, presence at final exam.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
General note: Původní název předmětu: Statistika3 (naposledy v semestru podzim 2013).
The course is also listed under the following terms Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2023/MPM_VSM