Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Analyze and economic time series forecasting by using selected statistical methods
Skopal, Martin ; Charvát, Pavel (oponent) ; Mauder, Tomáš (vedoucí práce)
In this thesis we aim to construct a fully automatic forecasting algorithm, which is trying to utilize a combining procedure on two levels between two families of forecasting models, Box-Jenkins and Exponential smoothing state space models, that is able to deal with homoscedastic and heteroscedastic time series. For this we devise a selection procedure in the MATLAB environment for ARIMA models. The resulting combined model is then applied several financial time series and its performance is discussed.
Analyze and economic time series forecasting by using selected statistical methods
Skopal, Martin ; Charvát, Pavel (oponent) ; Mauder, Tomáš (vedoucí práce)
In this thesis we aim to construct a fully automatic forecasting algorithm, which is trying to utilize a combining procedure on two levels between two families of forecasting models, Box-Jenkins and Exponential smoothing state space models, that is able to deal with homoscedastic and heteroscedastic time series. For this we devise a selection procedure in the MATLAB environment for ARIMA models. The resulting combined model is then applied several financial time series and its performance is discussed.

Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.