Publication | Closed Access
On the Order Determination of ARIMA Models
104
Citations
12
References
1977
Year
Order TheoryForecasting MethodologyParameter IdentificationOrder DeterminationEconometricsMinimum Aic EstimationInformation CriterionFast MaForecastingNonlinear Time SeriesMoving Average
In this paper the difficulty in deciding the order of an arima (autoregressive integrated moving average) model is discussed. The possibility of removing this difficulty by using the maice (minimum aic estimation) procedure, which selects a model by using Akaike's Information Criterion (aic), is checked with the numerical examples treated in the book by Box and Jenkins.
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