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has been cited by the following article:

• 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.