151-9501/01 – Advanced statistical methods for data analysis (ASMDA)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits10
Subject guarantorprof. RNDr. Dana Šalounová, Ph.D.Subject version guarantorprof. RNDr. Dana Šalounová, Ph.D.
Study levelpostgraduateRequirementChoice-compulsory type B
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2014/2015Year of cancellation
Intended for the facultiesEKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
S1A20 prof. RNDr. Dana Šalounová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

Subject aims expressed by acquired skills and competences

Ability to apply advanced statistical methods in solving economic problems.

Teaching methods

Lectures
Individual consultations

Summary

The subject deals with advanced statistical methods and their economic applications.

Compulsory literature:

ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Statistics for business and economics. 11th ed., rev. Mason: South-Western Cengage Learning, c2012. ISBN 978-0-538-48164-9. TABACHNICK, Barbara G. a Linda S. FIDELL. Using multivariate statistics. 5th ed. Boston: Pearson Allyn & Bacon, c2007. ISBN 978-0-205-45938-4. MONTGOMERY, C.M. Introduction to Statistical Quality Control. John Wiley & Sons, 2009. 734 p. ISBN 978-0-470-16992-6.

Recommended literature:

WEISBERG, Sanford. Applied linear regression. 4th ed. Hoboken: Wiley, c2014. Wiley series in probability and statistics. ISBN 978-1-118-38608-8. GAMST, G., MEYERS, L.S. and GUARINO, A.J. Analysis of Variance Designs. Cambridge University Press, 2008. 578 p. ISBN 978-0-521-87481-6. AGRESTI, Alan. Foundations of linear and generalized linear models. Hoboken: Wiley, [2015]. Wiley series in probability and statistics. ISBN 978-1-118-73003-4.

Way of continuous check of knowledge in the course of semester

Exam.

E-learning

Other requirements

No further requests.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Analysis of variance; one-way design, contrasts, post hoc tests, two-way design, a model with interactions. Categorical data analysis; contingency tables, logistic regression, estimating the logistic regression model, interpreting the coefficients, assessing the googness-of-fit of the estimation model. Unidimensional scaling; approaches to scaling, order scaling, Likert scaling, Guttman scaling, comparative judgment – Thurstone scaling. Factor analysis; determining the dimensions of correlation, latent and manifest variables, extracting the principal solution, importance and interpretation of factors, rotating the factors, additional uses of factor analysis results. Cluster analysis; principles, determining similarity, methods. Statistical quality control; methods and philosophy of statistical process control, control charts, acceptance-sampling problém.

Conditions for subject completion

Full-time form (validity from: 2014/2015 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2020/2021 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2020/2021 (P0311D050020) Systems Engineering and Informatics K English Ostrava Choice-compulsory type B study plan
2020/2021 (P0311D050020) Systems Engineering and Informatics P English Ostrava Choice-compulsory type B study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P English Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K English Ostrava Choice-compulsory study plan
2014/2015 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2014/2015 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner