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Time series are data observed over time (either in continuous time or at discrete time periods).

1 vote
1 answer
518 views

Analysis of residuals

For my master thesis I have implemented following forecasting models: naive (just to check) decomposition method exponential smoothing (single/double/holt-winters) SARIMA Now I need to do the resi …
kathy kinga's user avatar
0 votes
1 answer
766 views

General forecasting equation for ARIMA(p,d,q)(P,D,Q)s

what is general forecasting equation for ARIMA(p,d,q)(P,D,Q)s? I wrote this equation, can someone confirm if it is a correct one? If not, can someone correct it? $$\overline{y}_{t+m}= \varphi_{1}y_{t} …
kathy kinga's user avatar
1 vote
0 answers
326 views

Stationarity ⇒ homoscedasticity? [duplicate]

If my data is stationary, can I also write that it is homoscedastic? Does stationarity imply homoscedasticity of the data?
kathy kinga's user avatar
2 votes
0 answers
2k views

Time Series Decomposition - autocorrelation of error term

I would like to do time series decomposition, but the error term has a serial autocorrelation at the end and I am freaking out because I have really no idea what to do with that. How I did it? I tri …
kathy kinga's user avatar