Volume 1, Issue 1, 2021
Articles

Trends and Growth Rate Analyses of Gram Production – A Data Driven Approach

Vinoth Balakrishnan
Department of Statistics, Kristu Jayanti College
Liji Sebastian
Department of Statistics, Kristu Jayanti College
Rajarathinan Arunachalam
Department of Statistics, Kristu Jayanti College

Published 2020-11-03

Keywords

  • Smoothing technique, nonparametric regression.

How to Cite

Balakrishnan, V., Sebastian, L., & Arunachalam, R. (2020). Trends and Growth Rate Analyses of Gram Production – A Data Driven Approach. Kristu Jayanti Journal of Computational Sciences (KJCS), 1(1), 43–57. https://doi.org/10.59176/kjcs.v1i1.1266

Abstract

Trends and growth rate analysis are extensively employed in the agricultural sector as these have significant policy implications. The present study was commenced to design a methodology to fit trends in the three phases of different Gram crops grown in Tamil Nadu state using nonparametric regression. Relative growth rates were calibrated based on non-parametric regression model. On average, the percentage growth rate values obtained in the years 1950-1951 to 2009-2010 for the three phases of different grams crops showed that production increased with a rate of 6.0, which has been at a rate of 2.89 and 3.21 per cent per year due to the combined effect of area and productivity.

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References

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