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Jute Production in Bangladesh: A Time Series Analysis | Science Publications

机译:孟加拉国的黄麻生产:时间序列分析科学出版物

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> >Jute is called the Golden Fiber of Bangladesh. Bangladesh iscurrently the second largest producer of jute fiber. Bangladesh fallsbehind its other competitors in applying recent technological advancements. Interms of world export of jute fiber, Bangladesh's share is more than 70%, whichmakes Bangladesh the largest exporter of jute fiber in the world. The globaldemand for jute and allied products has seen a steady increase driven by afresh comeback for biodegradable fiber as people now look for eco-friendlyproducts replacing synthetics. The main purpose of this research is to identifythe Auto-Regressive Integrated Moving Average (ARIMA) model that could be usedto forecast the production of jute in Bangladesh. This study considered thepublished secondary data of yearly jute production in Bangladesh over theperiod 1972 to 2013. The best selected Box-Jenkin’s ARIMA model for forecastingthe jute productions in Bangladesh is ARIMA(1,1,1). The comparison between theoriginal series and forecasted series shows the same manner which indicate thefitted model behaved statistically well and suitable to forecast the juteproductions in Bangladesh i.e., the models forecast well during and beyond theestimation period.
机译: > >黄麻被称为孟加拉国的黄金纤维。孟加拉国目前是黄麻纤维的第二大生产国。孟加拉国在应用最新技术进步方面落后于其他竞争对手。在世界黄麻纤维出口的中间市场上,孟加拉国的份额超过70%,这使孟加拉国成为世界上最大的黄麻纤维出口国。由于人们现在正在寻找替代合成纤维的环保产品,对黄麻及相关产品的全球需求稳步增长,这是由于可生物降解纤维的重新卷土重来。这项研究的主要目的是确定可用于预测孟加拉国黄麻产量的自回归综合移动平均线(ARIMA)模型。这项研究考虑了1972年至2013年期间孟加拉国黄麻年产量的已发布二级数据。预测孟加拉国黄麻产量的最佳选择Box-Jenkin的ARIMA模型是ARIMA(1,1,1)。原始序列与预测序列之间的比较显示出相同的方式,表明拟合的模型在统计上表现良好,适合于预测孟加拉国的黄麻产量,即模型在估计期内及预测之后均能很好地预测。

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