OPF:MME902S Time Series Analysis - Informace o předmětu
MME902S Time Series Analysis
Obchodně podnikatelská fakulta v Karvinézima 2006
- Rozsah
- 1/2/0. 5 kr. Ukončení: z.
- Vyučující
- Mgr. Radmila Krkošková, Ph.D. (přednášející)
Mgr. Radmila Krkošková, Ph.D. (cvičící)
Ing. Filip Tošenovský, Ph.D. (cvičící) - Garance
- Mgr. Radmila Krkošková, Ph.D.
Katedra informatiky a matematiky – Obchodně podnikatelská fakulta v Karviné - Omezení zápisu do předmětu
- Předmět je nabízen i studentům mimo mateřské obory.
- Mateřské obory/plány
- Ekonomika podnikání v obchodě a službách (program OPF, N_EKOMAN)
- Evropská integrace (program OPF, N_HOSPOL)
- Finance (program OPF, N_HOSPOL)
- Manažerská informatika (program OPF, N_SYSINF)
- Marketing a management (program OPF, N_EKOMAN)
- Veřejná ekonomika a správa (program OPF, N_HOSPOL)
- Cíle předmětu
- The course objective is to introduce the students with statistical methods used in economic time series analysis, e.g. classical decomposition methods, Box-Jenkinson methodology, spectral methods. Solving of practical problems by using these methods on personal computer is emphasised.
- Osnova
- Structure of the Course:
1. Importance, basic approaches and specific problems in time series analysis
2. Decomposition of time series
3. Box-Jenkinson methodology and spectral analysis
4. Utilization of statistical software on PC
Content of the course:
1. Importance, basic approaches and specific problems in time series analysis.
Dynamics of economic behaviour, interval and point indicators, chronologic average, additive and multiplicative models, one-dimensional and multi-dimensional models, time component, basic characteristics.
2. Decomposition of time series
Trend, seasonal and erratic component, choosing the adequate model, seasonal models, adaptive models, exponential smoothing.
3. Box-Jenkinson methodology and spectral analysis
Autoregressive models AR, moving average models MA, models ARMA and ARIMA, extrapolation and forecasting of time series, measuring forecasting accuracy, spectral analysis. Stationary stochastic processes, autocovariance matrix, autocorrelation function, advantages and disadvantages of autocorrelation function for time series analysis.
4. Utilization of statistical software on PC
Microsoft Excel, SPSS and their utilization for solving practical problems on PC.
Presentation media and PC are used in the framework of education. Seminars are taught in computer classrooms. Educational materials in electronic form are available on faculty computer network.
- Structure of the Course:
- Informace učitele
- Seminary work, final exam.
- Další komentáře
- Předmět je dovoleno ukončit i mimo zkouškové období.
- Statistika zápisu (zima 2006, nejnovější)
- Permalink: https://is.slu.cz/predmet/opf/zima2006/MME902S