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Question Q: What is the difference between using the ARMA and the ARIMA models? A: The ARIMA model converts non-stationary data to stationary before operating.

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Presentation on theme: "Question Q: What is the difference between using the ARMA and the ARIMA models? A: The ARIMA model converts non-stationary data to stationary before operating."— Presentation transcript:

1 Question Q: What is the difference between using the ARMA and the ARIMA models? A: The ARIMA model converts non-stationary data to stationary before operating on it.

2 Question Q: Why is the simple moving average(SMA) less accurate than ARIMA? A: Arima takes more constraints into account: central moving averages(CMA), weighted moving average (WMA), seasonality and lag (failure to maintain a desired pace) ,

3 Question Q: What is the Big(O) of HMM? A:
n is the number of hidden or latent variables m is the number of observed sequences of observed variables

4 Questions?

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