OPF:MMEKSMEA Statistical Methods for Econom - Informace o předmětu

MMEKSMEA Statistical Methods for Economists

Rozsah

Přednáška 8 HOD/SEM. 4 kr. Ukončení: zk.

Vyučující

Ing. Elena Mielcová, Ph.D. (přednášející)
Ing. Filip Tošenovský, Ph.D. (přednášející)
prof. RNDr. Josef Tošenovský, CSc. (přednášející)

Garance

prof. RNDr. Josef Tošenovský, CSc.
Katedra informatiky a matematiky – Obchodně podnikatelská fakulta v Karviné

Předpoklady

K absolvování předmětu nejsou vyžadovány žádné podmínky a předmět může být zapsán nezávisle na jiných předmětech.

Omezení zápisu do předmětu

Předmět je otevřen studentům libovolného oboru.

Cíle předmětu

The course provides a greater insight into statistical methods used for multivariate data analysis. It presents selected methods and shows how to apply them with a support of statistical software. It also familiarizes students with some special economic-mathematical methods which are an essential part of modern management. Students learn the methods in a practical way, so that they can use them in marketing. Studying the methods, the students will also be able to control production quality at all stages of production processes. At the same time, they will learn methods which form an essential part of management education, as dictated by the internationally - recognized quality norms, such as QS 9000 from the U.S. or VDA 6.1. from Germany. These norms are compulsory for many industrial branches including all car industry suppliers.

Osnova

• 1. Introduction to statistical terms and methods
  2. Hypothesis testing in marketing - parametric tests
  3. Hypothesis testing in marketing - non-parametric tests
  4. Regression analysis
  5. Correlation analysis
  6. Analysis of variance (ANOVA)
  7. Analysis of variance (ANOVA) : two factors and Latin squares
  8. Full factorial plans
  9. Two-level fractional factorial plan
  10. Taguchi's methods - loss function
  11. Taguchi's methods - overall quality costs
  12. Sale forecasting methods
  1. Introduction to statistical terms and methods
  Location and variability characteristics, skewness, kurtosis, statistical sample with two
  variables, hypothesis testing
  2. Hypothesis testing in marketing - parametric tests
  A marketing case study enabling to test parameters of interest, one-sample t-test and two-sample t-test paired and unpaired.
  3. Hypothesis testing in marketing - non-parametric tests
  One-sample median test, one-sample Chi-squared test, two-sample tests, two-sample Chi-squared test, Mann-Whitney test, Wilcoxon paired test.
  4. Regression analysis
  The idea of regression, estimation of regression coefficients, test of significance for regression coefficients, confidence intervals for regression coefficients, goodness-of-fit test for regression.
  5. Correlation analysis
  Correlation coefficient, correlation index, Spearman's rank correlation coefficient, multivariate linear dependence - equations for two independent variables.
  6. Analysis of variance (ANOVA)
  One-factor ANOVA procedures and a measure of dependence.
  7. Analysis of variance (ANOVA) : two factors and Latin squares
  Two factors and three-factors (Latin squares) in ANOVA.
  8. Full factorial plans
  Introduction to statistical experiments and their applications, experimental procedure, effect of a factor and test for its significance, graphical assessment of a factor effect, interaction plots, model of an experiment.
  9. Two-level fractional factorial plan
  Half-fractional factorial plans, graphical method.
  10. Taguchi's methods - loss function
  Definition and properties of the loss function, loss function for different types of tolerances.
  11. Taguchi's methods - overall quality costs
  Monitoring of quality costs, control charts.
  12. Sale forecasting methods
  Trend and seasonal analysis, model for constant seasons, residual analysis, testing of residual properties, forecasting, causal forecasting model.
  

Literatura

povinná literatura
• J. G. VAN MATRE, G.H. GILBREATH. Statistics for Business and Economics. Business Publications, 1987. info

doporučená literatura
• JIJU ANTONY. Design of Experiments for Engineers and Scientists. Butterworth-Heinemann, 2003. info
• RANJIT K. ROY. A Primer on the Taguchi Method (Competitive Manufacturing Series). Society of Manufacturing Engineers, 1990. info

Výukové metody

Individuální konzultace
Demonstrace dovedností

Metody hodnocení

Písemná zkouška
Písemný test

Vyučovací jazyk

Angličtina

Informace učitele

1x test, 1x exam test

Další komentáře

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• Statistika zápisu (nejnovější)
  
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