457-0703/01 – Special Methods of Data Analysis (SMAD)

Gurantor departmentDepartment of Applied MathematicsCredits5
Subject guarantorprof. Ing. Radim Briš, CSc.Subject version guarantorprof. Ing. Radim Briš, CSc.
Study levelundergraduate or graduateRequirementCompulsory
Year2Semesterwinter
Study languageCzech
Year of introduction2005/2006Year of cancellation2009/2010
Intended for the facultiesHGFIntended for study typesMaster
Instruction secured by
LoginNameTuitorTeacher giving lectures
BRI10 prof. Ing. Radim Briš, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Combined Credit and Examination 12+0

Subject aims expressed by acquired skills and competences

The aim of the subject is mastering of both the basic and also special statistical techniques of statistical data analysis.

Teaching methods

Lectures
Tutorials
Project work

Summary

Spesial methods of data analysis are introduced, as for example ANOVA, Multiple linear regression models, etc.

Compulsory literature:

Briš R., Škňouřilová P., Statistics I, Electronic script, 2008. Dummer R.M.; Introduction to Statistical Science, skriptum VŠB-TUO FEI, 1998, ISBN 80-7078-497-0

Recommended literature:

Likeš J., Cyhelský L.Hindls R.; Úvod do statistiky a pravděpodobnosti, 1994, VŠE Praha, ISBN 80-7079-028-8. Likeš J., Machek J., Počet pravděpodobnosti, SNTL Praha 1981. Likeš J., Machek J., Matematická statistika, SNTL Praha 1983.

Way of continuous check of knowledge in the course of semester

Semestral project (max. 11 points) Tests (max. 22 points)

E-learning

Další požadavky na studenta

Prerequisities

Subject codeAbbreviationTitleRequirement
541-0004 AS Applied Statistics Recommended

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Exploratory data analysis, types of variables, Exploratory analysis of single discrete and continuous variables, summarization of distributions. Statistical inference. Point and interval estimation, hypothesis testing, pure significance tests, p-values, two sample tests, paired difference tests. One factor analysis of variance, ANOVA table, multiple comparisons, post hoc analysis. ANOVA for two factors. Linear regression models, least squares estimation of)parameters and properties of the estimates. Multiple regression models.

Conditions for subject completion

Combined form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 33 (33) 0
                Project Project 11  0
                Written exam Written test 22  0
        Examination Examination 67 (67) 0
                Written examination Written examination 47  0
                Oral Oral examination 20  0
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2005/2006 (N3646) Geodesy and Cartography (3602T002) Geoinformatics (10) K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner