A Time Series Analysis for the Pineapple Production in Bangladesh. Hossian, M., M. & Abdulla, F. Jahangirnagar University Journal of Science, 38(2):49-59, 2015. ![A Time Series Analysis for the Pineapple Production in Bangladesh [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper abstract bibtex Pineapple is one of the most important commercial fruit crops in the world. It is the third most important tropical fruit in the world and in Bangladesh, pineapple ranks 4 th in terms of total cropping area and production. The production of fruits including pineapple is increasing day by day in Bangladesh. Also, the world pineapple demand has been expanding rapidly. Moreover, a large number of people were involved in the production and marketing of Pineapple in Bangladesh which contribute our economy as well as GDP. Thus, it is necessary to estimate the Pineapple production in Bangladesh. The main purpose of this paper is to identify the Auto-Regressive Integrated Moving Average (ARIMA) model that could be used to forecast the production of Pineapple in Bangladesh. This paper considered the published secondary data of yearly Pineapple production in Bangladesh over the period 1972 to 2013. The best selected ARIMA model to forecast the Pineapple productions in Bangladesh is ARIMA (0,2,1). The comparison between the original series and forecasted series shows the same manner indicating the fitted model behaved statistically well and suitable to forecast the Pineapple productions in Bangladesh i.e., the models forecast well during and beyond the estimation period.
@article{
title = {A Time Series Analysis for the Pineapple Production in Bangladesh},
type = {article},
year = {2015},
keywords = {ARIMA Model,Bangladesh,Forecasting,Pineapple},
pages = {49-59},
volume = {38},
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abstract = {Pineapple is one of the most important commercial fruit crops in the world. It is the third most important tropical fruit in the world and in Bangladesh, pineapple ranks 4 th in terms of total cropping area and production. The production of fruits including pineapple is increasing day by day in Bangladesh. Also, the world pineapple demand has been expanding rapidly. Moreover, a large number of people were involved in the production and marketing of Pineapple in Bangladesh which contribute our economy as well as GDP. Thus, it is necessary to estimate the Pineapple production in Bangladesh. The main purpose of this paper is to identify the Auto-Regressive Integrated Moving Average (ARIMA) model that could be used to forecast the production of Pineapple in Bangladesh. This paper considered the published secondary data of yearly Pineapple production in Bangladesh over the period 1972 to 2013. The best selected ARIMA model to forecast the Pineapple productions in Bangladesh is ARIMA (0,2,1). The comparison between the original series and forecasted series shows the same manner indicating the fitted model behaved statistically well and suitable to forecast the Pineapple productions in Bangladesh i.e., the models forecast well during and beyond the estimation period.},
bibtype = {article},
author = {Hossian, Md Moyazzem and Abdulla, Faruq},
journal = {Jahangirnagar University Journal of Science},
number = {2}
}
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