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Computer Exercise 1 Estimation and Model Validation

This computer exercise treats identification, estimation, and model validation in ARMAand SARIMA-processes. Your goal is to be proficient in simulating different kinds of stationary and non-stationary time series, and to master the ’craft’ of identification and modeling of such. You will use the autocorrelation function (ACF), the partial autocorrelation function (PACF), probability plots and different parameter estimators as your basic toolkit. In this exercise, you will use these on both simulated and measured time series data.