Quantitative Methods

Documents and sources

Course Syllabus - 2016

Course Syllabus - 2017 (Spring)

Course Syllabus - 2017 (Fall)

Course Syllabus - MBA6 (2017-2018)

Table of Poisson Probabilities

Standard normal distribution table

F Distribution Tables

t Student Distribution Table

Durbin-Watson table

Example of mid-term exam

Example of final exam MBA-3 (2016)

Example of final exam MBA-4 (2017)

Example of final exam MBA-5 (2017)

Example of final exam MBA-6 (2018)

Course plan

Week

Lectures

Seminars

1

Introduction to Combinatorics.

Basics of Combinatorics.

2

Theory of Probabilities.

Theory of Probabilities.

3

Conditional probabilities and their application.

Conditional probabilities.

4

Binominal distribution. Distribution approximation.

Distribution problems.

5

Statistical methods. Samples.

Numerical characteristics of samples.

6

Hypothesis testing.

Hypothesis testing problems.

7

Econometrics, methods, applications. Main modelling principles.

Work with EViews

8

Workning with EViews.

Linear regression in EViews.

9

Multiple regressions. Statistical hypothesis and their economical application.

Multiple regressions in EViews.

10

Statistical hypothesis in regression.

Statistical hypothesis in EViews.

11

Special types of regressions. Non-linear models. Dummy variables.

Estimation of special regressions

Self work

Individual tasks - 2017

Individual tasks - MBA6

Electronic journals

Electronic journal MBA3-2016

Electronic journal MBA4-2017 (restricted access)

Electronic journal MBA5-2017 (restricted access)

Electronic journal MBA6-2017/2018

Course questionnaires

Questionnaire for the course

Results of the questionnaire for the course: MBA-3 (2016), MBA-4 (2017), MBA-5 (2017)

Consideration about electronic journal

Tests: 07, 08, 10, 11