Principal Component Regression for Crop Yield Estimation

• Κύριοι συγγραφείς: Suryanarayana, T.M.V (Συγγραφέας), Mistry, P. B. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Engineering.; Environmental management.; Climate change.; Agriculture.; Statistics.; Applied mathematics.; Engineering mathematics.; Environmental sciences.; Appl.Mathematics/Computational Methods of Engineering.; Climate Change/Climate Change Impacts.; Statistical Theory and Methods.; Math. Appl. in Environmental Science.; Water Policy/Water Governance/Water Management.

This book highlights the estimation of crop yield in Central Gujarat, especially with regard to the development of Multiple Regression Models and Principal Component Regression (PCR) models using climatological parameters as independent variables and crop yield as a dependent variable. It subsequent...