1School of Agricultural Economics and Horti-Business Management
2Division of Agricultural Statistics, University of Delhi, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
3Division of Environmental Sciences, University of Delhi, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
4Division of Fruit Sciences, University of Delhi, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
5Department of Linguistics, University of Delhi, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
*e-mail: mubashirkachroo@gmail.com
Online published on 30 June, 2023.
Castor is an important non-edible oilseed, basically a cash crop, cultivated around the world owing to the commercial importance, of its oil. Gujarat is the largest Castor producing state followed by Andhra Pradesh and Rajasthan. The present study is an attempt to find past trends of Castor seed in India using parametric, nonparametric and semi-parametric regression methods. The performance of each method is compared using higher values of R2 and lower values of residual criteria. It is found that the parametric regression comes out to be good fit for trends in Castor seed in comparison to the nonparametric/semi-parametric regression. In Comparison to nonparametric and semi-parametric, semi-parametric spline regression was selected as the best fitted model for trend analysis. The study advocates for researchers technological breakthrough in Castor seed production in India.
Non-parametric, Production, Regression, Spline, Trend
