Statistics

Lecturer:

Ivan Nagy (gar.)

Tutor:

Ivan Nagy (gar.)

Supervisor:

Department of Applied Mathematics

Synopsis:

Principle knowledge of data processing and data analysis.

Requirements:

Completion of „Probability“ course or proving adequate knowledge.

Syllabus of lectures:

Point estimation, properties of point estimators, methods of point estimation. Testing of statistical hypothesis. Fit test, independence test. Regression and correlation, linear regression, correlation coefficient, coefficient of determination, general linear model, statistical inference in linear regression, analysis of variance, multiple regression, use of matrices in regression.

Syllabus of tutorials:

Study Objective:

Study materials:

Anděl J., Matematická statistika, Praha, SNTL, 1974,

Budínský P., Dohnal G., Tématické okruhy a celky z předmětu Matematika IV., Praha, doplňkové skriptum ČVUT, 1991,

Likeš J., Machek J., Matematická statistika, Praha, SNTL, 1983,

Něničková A., Matematická statistika - cvičení, Praha, Vydavatelství ČVUT, 1992

Note:

Time-table for winter semester 2011/2012:

Time-table is not available yet

Time-table for summer semester 2011/2012:

Time-table is not available yet

The course is a part of the following study plans: