Principal Component Regression for Crop Yield Estimation

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...

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Detaylı Bibliyografya
Asıl Yazarlar: Suryanarayana, T.M.V (Yazar), Mistry, P.B (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:SpringerBriefs in Applied Sciences and Technology,
Konular:
Engineering mathematics.
Engineering > Data processing.
Climatology.
Statistics .
Environmental sciences > Mathematics.
Agriculture.
Water.
Hydrology.
Mathematical and Computational Engineering Applications.
Climate Sciences.
Statistical Theory and Methods.
Mathematical Applications in Environmental Science.
Online Erişim:Full-text access
İçindekiler:
  • Introduction
  • Principal Component Analysis In Transfer Function
  • Review of Litrrature
  • Study Area and Data Collection
  • Methodology
  • Conclusions.

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