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Forecasting Model for Para Rubber’s Export Sales

Forecasting Model for Para Rubber’s Export Sales

Original Research ArticleMar 30, 2018Vol. 12 No. 2 (2012)

Abstract

In this paper, monthly export values of para rubber are investigated using the Box-Jenkins method. To find the optimal predicting model, 12-year data, from January 2000 to December 2011, are used to analyze. Finally,the suitable mathematical model is seasonal ARIMA that use the analysis of time-series from the lowest level of the Mean Absolute Percent Error (MAPE). The best model is seasonal ARIMA (1,1,1) 1,1,012 .

Keywords: Mathematical model, Box-Jenkins Method, Exporting of Para rubber

E-mail: kkkancha@kmitl.ac.th

How to Cite

Pattranurakyothin, T. ., & Kumnungkit*, K. . (2018). Forecasting Model for Para Rubber’s Export Sales. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 198-202.

References

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Author Information

Tatiporn Pattranurakyothin

Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

Kanchana Kumnungkit*

Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

About this Article

Journal

Vol. 12 No. 2 (2012)

Type of Manuscript

Original Research Article

Keywords

Mathematical model, Box-Jenkins Method, Exporting of Para rubber

Published

30 March 2018