Vol. 16 No. 1
Fitting statistical model on some agricultural dynamic variables to analyse growth of Barley (Hordeum vulgare) production and productivity in Jaipur district of Rajasthan
Author(s): C.K. SAINI AND A. GUPTA
Abstract: In this paper, we study stochastic models to analysis production and productivity of barley in Jaipur district of Rajasthan. There we took two dynamic variables or factors on which stochastic model has been fitted. The factor is as following Barley production (000 tones) and productivity (kg ha-1). The stochastic models which used for fitting purpose as following: Linear, Quadratic, Compound, Cubic and Power,there we used three criteria to comparison among model namely (i) Adjusted R2, (ii) Residual mean squares error (RMSE) and (iii) coefficient of determination (R2). The model which shows the highest R2and least RMSE,it would be best for a specific factor. The results indicated that the cubic, compound and power are the most suitable model to study barley production and productivity in Jaipur district of Rajasthan.
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