PřF:C8600 Multivariate Statistical Meth.

C8600 Multivariate Statistical Methods

Faculty of Science
Spring 2000

Extent and Intensity

2/0/0. 4 credit(s). Type of Completion: zk (examination).

Teacher(s)

prof. RNDr. Ladislav Dušek, Ph.D. (lecturer)

Guaranteed by

Prerequisites

Knowledge on basic unidimensional exploratory statistical techniques, analysis of variance, correlation analysis, simple regression.

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

Syllabus

Basic mathematical procedures with vectors and matrices. Introduction to mathematical statistics.
Correlation structure of multidimensional data. Similarity of parameters and cases (R-mode and Q-mode analysis).
Distribution of multidimensional data - basic tests.
Cluster analysis. Basic algorithms and finding of optimal metric for analysis. Similarity coefficients.
Discrimination analysis - continuous and bivariate data, basic algorithms of discrimination analysis.
Logistic regression - comparison with discrimination analysis.
Introduction to ordination methods. Multidimensional nominal data. Principal component analysis. Experimental approaches, graphical output. Factor analysis. Correspondence analysis.
Canonical correlation. Multivariate processing of species diversity data. Application of Markov chains.
Estimating abundance: Mark and recapture techniques, quadrat counts and line transects, distance methods and removal methods.
SAR, QSAR, QSAM.
Multivariate analysis of variance (MANOVA).

Language of instruction

Czech

Further Comments

The course is taught annually.
The course is taught: every week.

The course is also listed under the following terms Spring 2001, Spring 2002.