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Course: Mathematical Statistics

» List of faculties » FP » KMA
Course title Mathematical Statistics
Course code KMA/MST
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Frequency of the course každý rok
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Picek Jan, prof. RNDr. CSc.
  • Slámová Tereza, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 70 hours per semester
  • Preparation for exam - 110 hours per semester
Learning outcomes
Knowledge of advanced statistical methods and their understanding.
Basic knowledge of calculus - functions of several variables, ability to apply advanced methods of mathematical statistics and probability theory
Prerequisites


Assessment methods and criteria
Oral exam, Written exam

Requirements on credit: two tests of the subject matter. The date of each test will be announced in advance by teacher. It is necessary to get score at least 50% for each test. Requirements on exam: Knowledge of problem solving, concepts and basic ideas.
Recommended literature
  • Anděl, J. Statistické metody. Matfyzpress: Praha, 2007. ISBN 978-80-7378-003-6.
  • Hebák, P., Hustopecký, J., Malá, I. Vícerozměrné statistické metody (2). Informatorium, Praha, 2005. ISBN 80-7333-036-9.
  • Hendl, J. Přehled statistických metod. Praha: Portál, 2012. ISBN 978-80-262-0200-4.
  • JUREČKOVÁ, J., P. K. SEN a J. PICEK. Methodological Tools in Robust and Nonparametric Statistics. 2013. ISBN 978-1-4398-4068-9.
  • Kadeřábek J. Statistika. Liberec : Technická univerzita v Liberci, 2006. ISBN 80-7372-044-2.
  • RAMACHANDRAN, K., TSOKOS, Ch. Mathematical Statistics with Applications in R. Academic Press, 2014. ISBN 9780124171138.
  • RIZZO, Maria. Statistical computing with R. Boca Raton: Chapman & Hall/CRC, 2008. ISBN 978-1-58488-545-0.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Technical University of Liberec, date of update: 27.04.2024 23:50.