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Categorical Data Analysis - NSTP228

Title:	Analýza kategoriálních dat
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2012 to 2017
Semester:	winter
E-Credits:	3
Hours per week, examination:	winter s.:2/0, Ex [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:	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 -

Last update: T_KPMS (15.05.2012)

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

Aim of the course -

Last update: T_KPMS (20.05.2008)

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.

Literature - Czech

Last update: T_KPMS (05.05.2011)

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.

Teaching methods -

Last update: G_M (28.05.2008)

Lecture.

Syllabus -

Last update: T_KPMS (06.05.2011)

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.