A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is
The paper describes an empirical study of modeling and forecasting time series data of soybean production in India. Yearly soybean production data for the period of 1970-1971 to 2011-2012 of India were analyzed by time-series methods. Autocorrelation and partial autocorrelation functions were calculated for the data. The Box Jenkins ARIMA (autoregressive integrated moving average) methodology has been used for forecasting. The diagnostic checking has shown that ARIMA (1, 1, 1) is appropriate.fatcat:b7ctn27c4vb5fhplfn774iabwq