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Forecasting of lentil pulse production: An econometric analysis

The paper describes an empirical study of modeling and forecasting time series data of lentil pulse production in Bangladesh. The Box Jenkins ARIMA methodology has been used for forecasting.The diagnostic checking has shown that ARIMA (0, 1, 9) is appropriate.The forecasts from 2011-12 to 2015-16 ar...

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Main Authors: Rahman, Niaz Md. Farhat, Baten, Md Azizul, Roy, Ashutosh, Hossain, Md. Monir
Format: Article
Language:English
Published: AENSI Publisher 2013
Subjects:
QA Mathematics
Online Access:http://repo.uum.edu.my/12827/1/819-824.pdf
http://repo.uum.edu.my/12827/
http://www.ajbasweb.com/
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spelling my.uum.repo.128272014-12-17T08:29:03Z http://repo.uum.edu.my/12827/ Forecasting of lentil pulse production: An econometric analysis Rahman, Niaz Md. Farhat Baten, Md Azizul Roy, Ashutosh Hossain, Md. Monir QA Mathematics The paper describes an empirical study of modeling and forecasting time series data of lentil pulse production in Bangladesh. The Box Jenkins ARIMA methodology has been used for forecasting.The diagnostic checking has shown that ARIMA (0, 1, 9) is appropriate.The forecasts from 2011-12 to 2015-16 are calculated based on the selected model.These forecasts would be helpful for the policy makers to foresee ahead of time the future requirements of grain storage import and/or export and adopt appropriate measures in this regard. AENSI Publisher 2013 Article PeerReviewed application/pdf en http://repo.uum.edu.my/12827/1/819-824.pdf Rahman, Niaz Md. Farhat and Baten, Md Azizul and Roy, Ashutosh and Hossain, Md. Monir (2013) Forecasting of lentil pulse production: An econometric analysis. Australian Journal of Basic and Applied Sciences, 7 (2). pp. 819-824. ISSN 1991-8178 http://www.ajbasweb.com/
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Rahman, Niaz Md. Farhat
Baten, Md Azizul
Roy, Ashutosh
Hossain, Md. Monir
Forecasting of lentil pulse production: An econometric analysis
description The paper describes an empirical study of modeling and forecasting time series data of lentil pulse production in Bangladesh. The Box Jenkins ARIMA methodology has been used for forecasting.The diagnostic checking has shown that ARIMA (0, 1, 9) is appropriate.The forecasts from 2011-12 to 2015-16 are calculated based on the selected model.These forecasts would be helpful for the policy makers to foresee ahead of time the future requirements of grain storage import and/or export and adopt appropriate measures in this regard.
format Article
author Rahman, Niaz Md. Farhat
Baten, Md Azizul
Roy, Ashutosh
Hossain, Md. Monir
author_facet Rahman, Niaz Md. Farhat
Baten, Md Azizul
Roy, Ashutosh
Hossain, Md. Monir
author_sort Rahman, Niaz Md. Farhat
title Forecasting of lentil pulse production: An econometric analysis
title_short Forecasting of lentil pulse production: An econometric analysis
title_full Forecasting of lentil pulse production: An econometric analysis
title_fullStr Forecasting of lentil pulse production: An econometric analysis
title_full_unstemmed Forecasting of lentil pulse production: An econometric analysis
title_sort forecasting of lentil pulse production: an econometric analysis
publisher AENSI Publisher
publishDate 2013
url http://repo.uum.edu.my/12827/1/819-824.pdf
http://repo.uum.edu.my/12827/
http://www.ajbasweb.com/
_version_ 1644281011916242944
score 13.188404

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