SubjectsSubjects(version: 978)
Course, academic year 2025/2026
   
Problems of Applied Statistics - NSTP178
Title: Problémy aplikované statistiky
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2018
Semester: both
E-Credits: 3
Hours per week, examination: 0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: cancelled
Language: Czech
Teaching methods: full-time
Additional information: http://www.karlin.mff.cuni.cz/~kpms/past/
Note: you can enroll for the course repeatedly
you can enroll for the course in winter and in summer semester
Guarantor: doc. RNDr. Zdeněk Hlávka, Ph.D.
doc. RNDr. Daniel Hlubinka, Ph.D.
doc. Mgr. Michal Kulich, Ph.D.
Class: DS, pravděpodobnost a matematická statistika
Classification: Mathematics > Probability and Statistics
Interchangeability : NMST611
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Annotation -
The seminar introduces the participants to common problems arising in real life statistical applications. We will discuss some less well known statistical methods and present selected recent advances in statistical software and data analysis. The remaining talks will concern interesting statistical problems encountered by the guests of the seminar in their statistical praxis. For PhD students.
Last update: T_KPMS (04.05.2007)
Aim of the course -

This seminar concentrates on all problems concerning real life applications of mathematical statistics.

Last update: T_KPMS (26.05.2008)
Course completion requirements -

Requirements for granting the credit (zápočet): active participation in seminars PASt, or ISCB CR. The nature of the credit does not allow it to be repeated.

Last update: Hlávka Zdeněk, doc. RNDr., Ph.D. (06.10.2017)
Literature - Czech

Venables, Ripley (2002) Modern Applied Statistics with S, Springer, New York.

Chambers, Hastie (1992) Statistical Models in S, Chapman & Hall/CRC, Boca Raton.

Last update: Hlávka Zdeněk, doc. RNDr., Ph.D. (22.03.2006)
Teaching methods -

Seminar.

Last update: G_M (27.05.2008)
Syllabus -

The seminar introduces the participants to common problems arising in real life statistical applications. We will discuss some less well known statistical methods and present selected recent advances in statistical software and data analysis. The remaining talks will concern interesting statistical problems encountered by the guests of the seminar in their statistical praxis.

Last update: Hlávka Zdeněk, doc. RNDr., Ph.D. (22.03.2006)
 
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