Akademik Dersler - İçerik

Will be able to define the components of a time series.
EN: Explains time series patterns in different structures.
EN: Explains trends, seasonal fluctuations, and cyclical irregularities.
EN: Explains stochastic components.
EN: Describes and uses the difference and lag operators.
Will be able to construct linear stationary stochastic models.
EN: Explains, applies, and interprets the AR model.
EN: Explains, applies, and interprets the MA model.
EN: Explains, applies, and interprets the ARMA model.
Will be able to construct non-linear stochastic models.
EN: Explains, applies, and interprets the ARI model.
EN: Explains, applies, and interprets the IMA model.
EN: Explains, applies, and interprets the ARIMA model.
Will be able to evaluate stationary in time series.
EN: Recognizes the unit root process.
EN: Tests and interprets hypothesis related to the unit root.
EN: Uses cointegration and error correction models.
Will be able to construct and evaluate time series models by using SPSS.
Performs operations such as entering time series data into the SPSS software package and plotting the series.
Interprets the outputs of the analyses performed and makes statistical decisions.