SubjectsSubjects(version: 861)
Course, academic year 2019/2020
Research Results Presentation and Experimental Data Processing - NMST706
Title: Prezentace výsledků a zpracování experimentálních dat
Guaranteed by: Department of Probability and Mathematical Statistics (32-KPMS)
Faculty: Faculty of Mathematics and Physics
Actual: from 2017
Semester: winter
E-Credits: 2
Hours per week, examination: winter s.:0/2 C [hours/week]
Capacity: unlimited
Min. number of students: unlimited
State of the course: not taught
Language: Czech
Teaching methods: full-time
Classification: Mathematics > External Subjects, Probability and Statistics
Annotation -
Last update: G_M (07.05.2014)
Application of statistical methods in the analysis of experimental results. A course for the 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 experimantal material.

Literature - Czech
Last update: G_M (07.05.2014)

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

Zichová, J.: 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)

1. Basic probability and statistics - random events and variables, normal distribution, random sample.

2. Correlation, linear and logisitic regression, independence testing in contingency tables.

3. Testing hypotheses concerning the mean - t-tests and their non-parametric alternatives.

4. Analysis of variance - one-way and two-way ANOVA.

5. Cluster analysis - hierarchical and non-hierarchical clustering algorithms.

6. Time series analysis - trend, exponential smoothing, ARMA models.

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