Sudan production of Sorghum; forecasting 2016-2030 using autoregressive integrated moving average ARIMA model

Frah, E.A.M. (2016) Sudan production of Sorghum; forecasting 2016-2030 using autoregressive integrated moving average ARIMA model. American Journal of Mathematics and Statistics, 6 (4). pp. 175-181.

[img] PDF - Published Version
Restricted to ICRISAT researchers only

Request a copy

Abstract

Sorghum is the largest crop in Sudan, where Sudan is one of the most important countries producing sorghum in the world. Sudan is the fifth country after China, India, USA and Nigeria in sorghum production worldwide. Sorghum is the most important crop and livestock feed. The study aims at forecasting the sorghum production in Sudan. The study using Box-Jenkins methodology in time series analysis which is the optimal method applied to the pattern. This method consists of four steps namely identification, estimation, diagnostic checking, and forecasting by ARIMA models. Future forecasts drawn there show that the sorghum production will be likely to increases in coming years.

Item Type: Article
Uncontrolled Keywords: ARIMA, Forecasting, Sorghum and Sudan
Author Affiliation: Department of Statistics, Faculty of Sciences, University of Tabuk, KSA
Subjects: Plant Production
Divisions: Sorghum
Depositing User: Mr T L Gautham
Date Deposited: 25 Oct 2016 10:13
Last Modified: 25 Oct 2016 10:13
URI: http://eprints.icrisat.ac.in/id/eprint/14454

Actions (login required)

View Item View Item