In the dataset of production.txt, it has the monthly industrial production (IP) of US from year 1990
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In the dataset of production.txt, it has the monthly industrial production (IP) of US from year 1990 to year 2014. The data is retrieved from the Federal Reserve Bank of St. Louis.
- Plot the time series of IP, ACF and PACF of IP. Test the stationary of the IP.
- Generate the difference of IP. Plot the time series of differenced IP, ACF and PACF of the differenced IP. Test the stationary of the differenced IP.
- Are there seasonal pattern in the series of IP?
- Use AIC or BIC to fit an appropriate ARIMA model for the time series. Fit an ARIMA model with seasonal lag for the time series. Compare the two models.
- Use Ljung-Box test to evaluate the serial correlation of residuals.
- Compute 12-months-ahead forecasts based on the fitted model of your choice.
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