A STATISTICAL ESTIMATION ON PRODUCTION AND PRODUCTIVITY TREND OF RICE CROP (Oryza sativa) IN MANIPUR STATEJournal: IMPACT : International Journal of Research in Applied, Natural and Social Sciences ( IMPACT : IJRANSS ) (Vol.4, No. 7)
Publication Date: 2016-07-20
Authors : L. NETAJIT SINGH; Y. SANTOSH SINGH;
Page : 17-24
Keywords : Rice; Linear and Nonlinear; ARIMA; Manipur;
The present investigation was carried out to fit the trend in production and productivity of Rice crop data in Manipur state by using different statistical model (e. i. linear, nonlinear and time series model). The most suitable model was selected on the basis of adjusted R2, significant regression coefficient, root mean square error, mean absolute error, normality (Shapiro-Wilk test) and randomness of residual’s (Run test) distribution. Among the fitted models, time series e. i. ARIMA (2,1,1) and Gompertz models were found to be the best fitted trend equation for Rice production and productivity trend of Manipur State. The percentage growth rate during 6th to 11th five year plan and overall period during (1980-81 to 2013-14) show the increasing growth rate in production and productivity. Rice production and productivity has increase at the rate 2.090 per cent and 1.905 per cent per annum, respectively during the years (1980-81 to 2013-14).
Other Latest Articles
Last modified: 2016-07-20 16:12:17