I am using ARIMA and ARMA but not getting good results. Errors are increasing with time series years.
Can anybody suggest me an another option?
Or If somebody has source code of any other method please share with me. Many thanks.
Regards,
Vishu
I am expecting that precipitation data, just like rainfall data, should show some seasonality in which case seasonal autoregressive integrated moving average (SARIMA) methods might be helpful in modelling them. Find out if my expectation of seasonality is supported empirically. SARIMA methods capture seasonal tendencies as well as are applications of ARIMA modelling.
Analyze the data set and then select method.
1. ARMA
2. Smoothing methods
3. Machine learning methods
Ette Etuk thanks for your help @ I applied SARIMA already but not getting good results.
Amol ji @ thanks for your help. I already mention that ARMA is not helping in my case. Could you please suggest me any literature or codes on machine learning methods.
Joe Greaves @ 2
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