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                                       Details for article 3 of 9 found articles
 
 
  Automatic Identification of Autoregressive Integrated Moving Average Time Series
 
 
Title: Automatic Identification of Autoregressive Integrated Moving Average Time Series
Author: Kang, Chin-Sheng Alan
Bedworth, David D.
Rollier, Dwayne A.
Appeared in: IIE transactions
Paging: Volume 14 (1982) nr. 3 pages 156-166
Year: 1982-09-01
Contents: This paper discusses the development of a computer-oriented technique for automatically identifying nonseasonal Box-Jenkins ARIMA (p, d, q) models or multiplicative seasonal Box-Jenkins ARIMA (p, d, q)* (P, D, Q)s models for discrete univariate time series. This technique, called ARIMAID, also provides model parameter estimates so that the output of the system can be directly used for forecasting, control, or simulation purposes. ARIMAID was tested against 46 time series that had either been evaluated using the usual user-interactive procedure or were simulated according to some predefined model. For 45 of these series, ARIMAID made identifications that were statistically equal to or better than recognized manual identifications. Fourteen of the test results are tabulated in the paper. Other applications are also presented to document potential of the identification approach.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 3 of 9 found articles
 
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