Open Access
Research Article
Computational statistics for time-series forecasts via SAS/ETS 9.4 drop-down menu
*Dewi RahardjaCorresponding authorrahardja@gmail.comU. S. Department of DefenseFort MeadeMD 20755, U.S.A.View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 31 Dec 2020
- Published Online:
- 10 Aug 2023
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JSMS-877
- Pages:
- 787–800
Abstract
In this paper, using the Statistical Time Series (TS) methodologies reviewed in the literature, we present a step-by-step computational statistics procedure to execute TS forecasts computing via a point-and-clicks (semi-automatic) option of SAS (Statistical Analysis Software). Such point-and-clicks pathway of computing is via the SAS Econometrics Time Series 9.4 (SAS-ETS) drop-down menu. This paper will be very beneficial for forecasters in multiple areas of applications (e.g., business, epidemiology, sociology, etc.) without much expertise in the Statistical TS methodologies.
Keywords
Subject Classifications
37M10 − Time Series Analysis62M10 – Time seriesAuto-correlationRegression etc91B84 − Economic time series analysis
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