151-9501/01 – Advanced statistical methods for data analysis (ASMDA)
| Gurantor department | Department of Mathematical Methods in Economics | Credits | 10 |
| Subject guarantor | prof. RNDr. Dana Šalounová, Ph.D. | Subject version guarantor | prof. RNDr. Dana Šalounová, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2014/2015 | Year of cancellation | |
| Intended for the faculties | EKF | Intended for study types | Doctoral |
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:
Recommended literature:
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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