Course: Statistics and Date Analysis

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Course title Statistics and Date Analysis
Course code KAP/SAD*D
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Picek Jan, prof. RNDr. CSc.
Course content
The aim of the subject is to deepen knowledge on basic methods concerning mathematical statistics and data analysis and to acquaint with more advanced methods, with great emphasis on multidimensional methods. The topics discussed should address the needs of Ph.D. students for their professional work. Alternative procedures concerning statistical procedures based on the assumption of normality: nonparametric and robust procedures. L and M-estimates, sequence tests, correlation analysis. Linear regression, tests and regression estimates, basics of regression diagnostics. Multidimensional statistical analysis: concept of reliability area, basic estimates and tests, Hotelling test. Principal component method, factor analysis. Selected articles on statistical control of quality and reliability.

Learning activities and teaching methods
Lecture
Learning outcomes
The aim of the subject is to deepen knowledge on basic methods concerning mathematical statistics and data analysis and to acquaint with more advanced methods, with great emphasis on multidimensional methods. The topics discussed should address the needs of Ph.D. students for their professional work. Alternative procedures concerning statistical procedures based on the assumption of normality: nonparametric and robust procedures. L and M-estimates, sequence tests, correlation analysis. Linear regression, tests and regression estimates, basics of regression diagnostics. Multidimensional statistical analysis: concept of reliability area, basic estimates and tests, Hotelling test. Principal component method, factor analysis. Selected articles on statistical control of quality and reliability.

Prerequisites
unspecified

Assessment methods and criteria
Combined examination

Recommended literature
  • ANDERSON, T. W. An Introduction to Multivariate Statistical Analysis. 2003. ISBN 978-0-471-36091-9.
  • Dalgaard, P. Introductory Statistics with R. 2008. ISBN 978-0-387-79053-4.
  • JUREČKOVÁ, J., P. K. SEN a J. PICEK. Methodological Tools in Robust and Nonparametric Statistics. 2013. ISBN 978-1-4398-4068-9.
  • REIMANN C., P. FILZMOSER, R. GARRETT a R. DUTTER. Statistical Data Analysis Explained. 2008. ISBN 978-0-470-98581-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester