tailieunhanh - Statistical evaluation of stepwise regression method and autoregressive integrated moving average method for forecasting of groundnut (Arachis hypogaea L.) productivity in Junagadh district of Gujarat

In India, the productivity of various crops is unstable mainly due to climatic factors, price volatility and resource availability. The pre-harvest forecasting of the crop productivity is a major priority to know about the market demand of the crops. The present study focused the ability of pre-harvest forecasting performance of stepwise regression method and the ARIMA method. In stepwise regression method, two approaches were developed namely (1) using week-wise original weather variable and (2) weather indices using correlation coefficient as weight. |

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