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Forecasting dates production in Khyber Pakhtunkhwa, Pakistan

By: Syed Asghar Ali Shah, Nagina Zeb, Alamgir

Key Words: Forecast evaluation criteria, Diagnostics measures, ARIMA modeling, Parameter estimates, ADF test

Int. J. Biosci. 10(4), 249-254, April 2017.

DOI: http://dx.doi.org/10.12692/ijb/10.4.249-254

Abstract

The present study was undertaken to forecast Date’s production for onward ten years in Khyber Pakhtunkhwa, Pakistan. The study was based on secondary data covering a period of about 34 years i.e. starting from 1980-81 to 2013-14. Whereas auto regressive integrated moving average (ARIMA) modeling has been employed to fit the best time series model for Dates production. It revealed through the results that for Dates production, the time series models ARIMA (3, 1, 1) was found adequate having least values of forecast evaluation criteria. Hence it can be recommended that time series models was suitable for forecasting Date’s production in Khyber Pakhtunkhwa.

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Forecasting dates production in Khyber Pakhtunkhwa, Pakistan

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Syed Asghar Ali Shah, Nagina Zeb, Alamgir.
Forecasting dates production in Khyber Pakhtunkhwa, Pakistan.
Int. J. Biosci. 10(4), 249-254, April 2017.
http://www.innspub.net/ijb/forecasting-dates-production-khyber-pakhtunkhwa-pakistan/
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