SubjectsSubjects(version: 945)
Course, academic year 2014/2015
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Problems of Applied Statistics - NMST611
Title: Problémy aplikované statistiky
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2014 to 2017
Semester: both
E-Credits: 1
Hours per week, examination: 0/1, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Teaching methods: full-time
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.
Class: Pravděp. a statistika, ekonometrie a fin. mat.
Classification: Mathematics > Probability and Statistics
Interchangeability : NSTP178
Is interchangeable with: NSTP178
Annotation -
Last update: RNDr. Jitka Zichová, Dr. (24.04.2018)
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.
Aim of the course - Czech
Last update: doc. Mgr. Michal Kulich, Ph.D. (24.04.2018)

Na semináři se prezentují problémy vznikající při praktickém použití metod matematické statistiky a jejich řešení.

Literature - Czech
Last update: doc. Mgr. Michal Kulich, Ph.D. (24.04.2018)

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

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

Teaching methods -
Last update: T_KPMS (07.05.2014)

Seminar.

Syllabus -
Last update: doc. Mgr. Michal Kulich, Ph.D. (24.04.2018)

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.

 
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