Rahman, Niaz Md. Farhat and Rahman, Mohammad Mijanur and Baten, Md Azizul (2013) Modeling for growth and forecasting of pulse production in Bangladesh. Research Journal of Applied Sciences, Engineering and Technology, 5 (24). pp. 5578-5587. ISSN 2040-7459

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Abstract

The present study was carried out to estimate growth pattern and examine the best ARIMA model to efficiently forecasting pigeon pea, chickpea and field pea pulse production in Bangladesh.It appeared that the time series data for pigeon pea, chickpea and field pea were 1st order homogenous stationary.Two types of models namely Box-Jenkins type Autoregressive Integrated Moving Average (ARIMA) and deterministic type growth models, are examined to identify the best forecasting models for pigeon pea, chickpea and field pea pulse production in Bangladesh.The study revealed that the best models were ARIMA (1, 1 and 1), ARIMA (0, 1 and 0) and ARIMA (1, 1 and 3) for pigeon pea, chickpea and field pea pulse production, respectively.Among the deterministic type growth models, the cubic model is best for pigeon pea, chickpea and field pea pulse production. The analysis indicated that short-term forecasts were more efficient for ARIMA models compared to the deterministic models.The production uncertainty of pulse could be minimized if production were forecasted well and necessary steps were taken against losses.The findings of this study would be more useful for policy makers, researchers as well as producers in order to forecast future national pulse production more accurately in the short run.

Item Type:	Article
Uncontrolled Keywords:	ARIMA model, chickpea, field pea, forecasting, growth model, pigeon pea
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Prof. Madya Dr. Md. Azizul Baten
Date Deposited:	17 Dec 2014 07:42
Last Modified:	17 Dec 2014 07:42
URI:	https://repo.uum.edu.my/id/eprint/12825

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