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Course, academic year 2024/2025
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Asymptotic Methods of Mathematical Statistics - NSTP135
Title: Asymptotické metody matematické 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
Note: you can enroll for the course repeatedly
you can enroll for the course in winter and in summer semester
Guarantor: prof. RNDr. Jana Jurečková, DrSc.
Class: DS, pravděpodobnost a matematická statistika
DS, ekonometrie a operační výzkum
Classification: Mathematics > Probability and Statistics
Interchangeability : NMSA601
Annotation -
A seminar for PhD students.
Last update: T_KPMS (22.05.2007)
Aim of the course -

During the regular seminar for the PhD students of statistics and

probability, the students get acquainted with traditional and

non-traditional asymptotic proving tools, which they can then use in their

theses. During their seminar talks, the students discover

new relations and possibilities for their own work.

Last update: G_M (28.05.2008)
Literature - Czech

Podle pokynů přednášejících se systematicky studuje nová knižní i časopisecká literatura o moderních metodách

matematické statistiky. Seminář je často navštěvován předními zahraničními odborníky, kteří přijímají naše pozvání

vzhledem k naší vysoké mezinárodní reputaci a se zkušenostmi o vysoké úrovni našich studentů.

Last update: T_KPMS (06.02.2007)
Teaching methods -

Seminar.

Last update: G_M (27.05.2008)
 
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