Lecturer(s)


Picek Jan, prof. RNDr. CSc.

Course content

 Alternative procedures concerning statistical procedures based on the assumption of normality: nonparametric and robust procedures, L and Mestimators, rank tests.  Correlation analysis.  Linear regression analysis: inference and basics of diagnostics.  Multivariate statistical analysis: concept of confidence region, basic estimators and tests, Hotelling test.  Principal component analysis, factor analysis.  Selected topics on statistical quality control and reliability.

Learning activities and teaching methods

Selfstudy (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments), Independent creative and artistic activities, Individual consultation, Seminár

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.
The student will acquire detailed knowledge of the subject in the area according to the approval of the Branch Board

Prerequisites

Unspecified

Assessment methods and criteria

Oral exam
oral examination before a committee appointed by the Dean. Written work in the recommended range of 20 pages.

Recommended literature


ANDERSON, T. W. An Introduction to Multivariate Statistical Analysis. 2003. ISBN 9780471360919.

Dalgaard, P. Introductory Statistics with R. 2008. ISBN 9780387790534.

Hendl, J. Přehled statistických metod. Praha: Portál, 2012. ISBN 9788026202004.

JUREČKOVÁ, J., P. K. SEN a J. PICEK. Methodological Tools in Robust and Nonparametric Statistics. 2013. ISBN 9781439840689.

REIMANN C., P. FILZMOSER, R. GARRETT a R. DUTTER. Statistical Data Analysis Explained. 2008. ISBN 9780470985816.
