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Course, academic year 2023/2024
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Experimental Design and Predictive Multivariate Analysis - NMST705
Title: Plánování experimentů a predikční vícerozměrná analýza
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2021
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:0/3, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Guarantor: RNDr. Jitka Zichová, Dr.
Classification: Mathematics > External Subjects, Probability and Statistics
Interchangeability : MC230P58
Annotation -
Last update: T_KPMS (11.05.2015)
Hypotheses testing. Regression models. Experimental design. Methods of multivariate statistical analysis. Time series analysis. A course for students of chemistry at Charles University.
Aim of the course -
Last update: G_M (07.05.2014)

To demonstrate selected methods of statistical data analysis and their application to experimental material.

Course completion requirements - Czech
Last update: RNDr. Jitka Zichová, Dr. (30.01.2018)

Aktivní účast, maximálně 3 neomluvené absence. Provedení analýzy dat formou písemného zodpovězení otázek k výstupnímu protokolu ze statistického softwaru.

Literature - Czech
Last update: G_M (07.05.2014)

D.L.Massart et al. : Handbook of Chemometrics and Qualimetrics. Elsevier, Amsterdam, 1997.

J. Zichová: Plánování experimentů a predikční vícerozměrná analýza. Karolinum, Praha, 2007.

Teaching methods -
Last update: G_M (07.05.2014)


Syllabus -
Last update: G_M (07.05.2014)

Two-sample tests. Regression. Analysis of variance. Factorial experimental design. Principal component analysis. Cluster analysis. Discriminant analysis. Time series analysis.

Entry requirements -
Last update: RNDr. Jitka Zichová, Dr. (29.05.2019)

Basics of probability and mathematical statistics are recommended but not necessary.

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