Fitting and Forecasting of Trend Models for the HYV Boro Yields of Dinajpur District
DOI:
https://doi.org/10.54536/ajaset.v2i1.31Keywords:
HYV Boro rice, Trend Models, Ordinary Least Square, Cochrane and Orcutt method, Forecasting.Abstract
Bangladesh is a densely populated country and the main food of the country is rice. Although the High Yielding Variety (HYV) Bro rice is being cultivated in almost all areas of Bangladesh it is enormously cultivated in Dinajpur district of Bangladesh. Trend is very important to know the HYV Boro rice yields of the country. Hence the objective of this research is to fit and forecast of trend models of HYV Bro rice yields of Dinajpur district for the year from 1971 to 2007. The regression diagnostics revealed in this study indicate that the data is autocorrelated. Hence the Cochrane-Orcutt method was employed to fit such data set. Finally, we forecasted the yields of the three trend models for HYV Boro rice yields of Dinajpur up to 2021. On basis of the regression diagnostics, the quadratic trend model is an appropriate model for this data set and in this model would be useful for the decision makers for their agriculture and food policy formulation.
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Copyright (c) 2018 Provash Kumar Karmokar, Rangan Kumar, Ranjan Kumar Kundu
This work is licensed under a Creative Commons Attribution 4.0 International License.
