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Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models
المؤلفون المشاركون
Tripathi, Rahul
Raja, R.
Shahid, Mohammad
Kumar, Anjani
Mohanty, Sangita
Panda, B. B.
Lal, B.
Gautam, Priyanka
Nayak, Amaresh K.
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-09-30
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Forecasting of rice area, production, and productivity of Odisha was made from the historical data of 1950-51 to 2008-09 by using univariate autoregressive integrated moving average (ARIMA) models and was compared with the forecasted all Indian data.
The autoregressive (p) and moving average (q) parameters were identified based on the significant spikes in the plots of partial autocorrelation function (PACF) and autocorrelation function (ACF) of the different time series.
ARIMA (2, 1, 0) model was found suitable for all Indian rice productivity and production, whereas ARIMA (1, 1, 1) was best fitted for forecasting of rice productivity and production in Odisha.
Prediction was made for the immediate next three years, that is, 2007-08, 2008-09, and 2009-10, using the best fitted ARIMA models based on minimum value of the selection criterion, that is, Akaike information criteria (AIC) and Schwarz-Bayesian information criteria (SBC).
The performances of models were validated by comparing with percentage deviation from the actual values and mean absolute percent error (MAPE), which was found to be 0.61 and 2.99% for the area under rice in Odisha and India, respectively.
Similarly for prediction of rice production and productivity in Odisha and India, the MAPE was found to be less than 6%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tripathi, Rahul& Nayak, Amaresh K.& Raja, R.& Shahid, Mohammad& Kumar, Anjani& Mohanty, Sangita…[et al.]. 2014. Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models. Advances in Agriculture،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034159
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tripathi, Rahul…[et al.]. Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models. Advances in Agriculture No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1034159
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tripathi, Rahul& Nayak, Amaresh K.& Raja, R.& Shahid, Mohammad& Kumar, Anjani& Mohanty, Sangita…[et al.]. Forecasting Rice Productivity and Production of Odisha, India, Using Autoregressive Integrated Moving Average Models. Advances in Agriculture. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034159
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034159
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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