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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2019/2020

Statistics

The course is not on the list Without time-table
Code Completion Credits Range
11MST-E Z,ZK 2 2+0
Lecturer:
Tutor:
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:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-10-15
For updated information see http://bilakniha.cvut.cz/en/predmet24789905.html