Detail kurzu

Forecasting Using SAS(R) Software: A Programming Approach

EDU Trainings s.r.o.

Popis kurzu

This course teaches analysts how to use SAS/ETS software to diagnose systematic variation in data collected over time, create forecast models to capture the systematic variation, evaluate a given forecast model for goodness of fit and accuracy, and forecast future values using the model. Topics include Box-Jenkins ARIMA models, dynamic regression models, and exponential smoothing models.

Obsah kurzu

Introduction to ForecastingTime series and forecasting.Introduction to forecasting with SAS software.Evaluating forecasts.Stationary Time Series ModelsIntroduction to stationary time series.Automatic model selection techniques for stationary time series.Estimation and forecasting for stationary time series.Trend ModelsIntroduction to nonstationary time series.Modeling trend.Alternatives to PROC ARIMA for modeling trend.Seasonal ModelsSeasonal ARIMA models.Alternatives to PROC ARIMA for fitting seasonal models.Forecasting the airline passengers data.Models with Explanatory VariablesOrdinary regression models.Event models.Time series regression models.

Cílová skupina

Scientists, engineers, and business analysts who have the responsibility of forecasting or evaluating policies and practices for their organizations
Certifikát Na dotaz.
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