Subjects

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Categorical Data Analysis - NSTP228

Title:	Analýza kategoriálních dat
Form of teaching:	lecture
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2018
Duration in semesters:	1
Semester:	winter
E-Credits:	3
Hours per week, examination:	winter s.:2/0, Ex [HT]
Capacity:	unlimited
Maximum number of enrolled students:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	cancelled
Language:	Czech
Teaching methods:	full-time
Repeated enrollment:	2 / 2 / 2 / 2

Guarantor:	doc. Ing. Marek Omelka, Ph.D.
Classification:	Mathematics > Probability and Statistics
Co-requisite :	NSTP201, NSTP202
Is co-requisite for:	NSTP229
Is incompatible with:	NSTP128

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Annotation -

Categorial and ordinal data. Multidimensional contingency tables. Loglinear and logit models.

Last update: T_KPMS (15.05.2012)

Aim of the course -

The aim of the subject is to acquaint students with specific properties of categorical data and to provide an overview of statistical methods and new developments in analysis of categorical data.

Last update: T_KPMS (20.05.2008)

Literature - Czech

Agresti, A.: Analysis of Ordinal Categorical Data. J. Wiley, New York. Second Edition. 2010.

Agresti, A.: Categorical Data Analysis. J. Wiley, New York. Second Edition. 2002.

Andersen, E.B.: The Statistical Ananlysis of Categorical Data. Springer-Verlag 1994.

Prášková, Z.: Kontingenční tabulky (skripta). UK Praha, 1985.

Last update: T_KPMS (05.05.2011)

Teaching methods -

Lecture.

Last update: G_M (28.05.2008)

Syllabus -

1. Binomial and multinomial distribution.

2. Two-dimensional contingency tables - hypothesis of independence, symmetry and marginal homogeneity.

3. Analyzing categorical data with the help of log-linear models.

4. Three and more than three-dimensional contingency tables, hierarchical log-linear models.

5. Logit models for zero-one, multinomial and ordinal response.

Last update: T_KPMS (06.05.2011)