Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach

Singh, Sarvraj and Tuteja, Dilpreet and Tripathi, Param and Basavaraj, Chirag (2014) Statistical Modelling of Soybean Crop Yield in Regions of Central India through Mathematical and Computational Approach. American Journal of Computational Mathematics, 04 (05). pp. 406-413. ISSN 2161-1203

[thumbnail of AJCM_2014111110441603.pdf] Text
AJCM_2014111110441603.pdf - Published Version

Download (2MB)

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.

Item Type: Article
Subjects: Archive Science > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 19 Jun 2023 09:58
Last Modified: 22 Jun 2024 09:29
URI: http://editor.pacificarchive.com/id/eprint/1205

Actions (login required)

View Item
View Item