@article{
 title = {Time Series Analysis of Onion Production in Bangladesh},
 type = {article},
 year = {2017},
 keywords = {RH_V:RH_R},
 pages = {1-4},
 volume = {5},
 id = {3bcac26f-af20-3bf4-a2c4-d36481672f95},
 created = {2020-11-12T21:43:15.772Z},
 file_attached = {true},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2021-05-05T17:29:59.574Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Objectives: 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 onion in Bangladesh. Methods: This paper considers a secondary data set of yearly onion production in Bangladesh over the period 1971-2013. The Box-Jenkins ARIMA model is employed to forecast the Onion productions in Bangladesh. Results: The most suitable Box-Jenkins ARIMA model for forecasting the onion productions in Bangladesh is ARIMA (0, 2, 1). From the comparison between the original series and forecasted series, it is concluded that the selected models forecast well during and beyond the estimation period to a satisfactory level. Conclusion: This paper suggests the time series model to forecast the onion production in Bangladesh which will be used for policy purposes as far as forecasts the onion production in Bangladesh.},
 bibtype = {article},
 author = {Hossain, Md Moyazzem and Abdulla, Faruq and Parvez, Imran},
 journal = {Innovare Journal of Agricultural Sciences},
 number = {1}
}

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