The present study is an attempt to find past trends of walnut in Jammu and Kashmir using parametric, non parametric and semi-parametric regression methods. The performance of each method is compared using high value of R and low value of residual criteria. It is found that non parametric/semi parametric regression comes out to be a good fit for trend in walnut production in comparison to parametric regression. Even semi parametric spline is selected as the best fit model for trend analysis. It is inferred that the area under walnut cultivation in J&K is increasing from 1998-2017 and the productivity has also shown an increasing trend except for some years where the trend is found declining. |
