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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

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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)

Seminar.

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.