Kniha Principal Component Regression for Crop Yield Estimation T. M. V Suryanarayana

Principal Component Regression for Crop Yield Estimation

Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 120
This book highlights the estimation of crop yield in Central§Gujarat, especially with regard to the...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2016
Stránek
67
EAN
9789811006623
ISBN
9811006628
Enbook ID
02926514
Hmotnost
150
Rozměry
247 x 157 x 13

Kompletní popis

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§subsequently compares the multiple linear regression (MLR) and PCR results, and§discusses the significance of PCR for crop yield estimation. In this context,§the book also covers Principal Component Analysis (PCA), a statistical procedure§used to reduce a number of correlated variables into a smaller number of§uncorrelated variables called principal components (PC). This book will be§helpful to the students and researchers, starting their works on climate and§agriculture, mainly focussing on estimation models. The flow of chapters takes§the readers in a smooth path, in understanding climate and weather and impact§of climate change, and gradually proceeds towards downscaling techniques and§then finally towards development of principal component regression models and§applying the same for the crop yield estimation.§§

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