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Refers to the AutoRegressive Integrated Moving Average model used in time series modeling both for data description and for forecasting. This model generalizes the ARMA model by including a term for differencing, which is useful for removing trends and handling some types of non-stationarity.
2
votes
Accepted
Computing reconciled prediction intervals when forecasting logged outcome variable using fable
prison_gts <- prison %>%
aggregate_key(Gender * Legal * State, Count = sum(Count)/1e3)
fit <- prison_gts %>%
filter(year(Quarter) <= 2014) %>%
model(base = ARIMA(log(Count))) %>%
reconcile( …
8
votes
Accepted
Error while fitting data in auto.arima - R
Consider using a different unit root test.
fit
#> Series: data
#> ARIMA(0,1,2)(0,1,0)[52]
#>
#> Coefficients:
#> ma1 ma2
#> -0.5560 -0.2496
#> s.e. 0.1124 0.1110
#>
#> sigma …