TITLE:
Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach
AUTHORS:
Sarvraj Singh, Dilpreet Tuteja, Param Tripathi, Chirag Basavaraj
KEYWORDS:
Climate Change, Prediction, Chaos, Uncertainty
JOURNAL NAME:
American Journal of Computational Mathematics,
Vol.4 No.5,
November
11,
2014
ABSTRACT: In this paper, we have discussed a number of fitting methods to predict crop yield of soybean depending on the nature of environment and a comparison is done between them on the basis of available data set. Later we have suggested a suitable method for the prediction of the crop yield on the basis of residual (error) terms. Statistical analysis is also used for getting the relationships between different components (variables) of available data set. At last, we have discussed about Chaos that can distort the whole mathematical analysis and a computational approach.