Loading, please wait...
:

product description page

Principal Component Regression for Crop Yield Estimation (Paperback) (T. M. V. Suryanarayana & P. B.

Principal Component Regression for Crop Yield Estimation (Paperback) (T. M. V. Suryanarayana & P. B. - image 1 of 1

About this item

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.

Number of Pages: 67
Genre: Mathematics, Science
Sub-Genre: Applied, Probability + Statistics / General
Series Title: Springerbriefs in Applied Sciences and Technology
Format: Paperback
Publisher: Springer Verlag
Author: T. M. V. Suryanarayana & P. B. Mistry
Language: English
Street Date: March 30, 2016
TCIN: 51240925
UPC: 9789811006623
Item Number (DPCI): 248-18-1340
If the item details above aren’t accurate or complete, we want to know about it. Report incorrect product info.

Guest reviews

Prices, promotions, styles and availability may vary by store & online. See our price match guarantee. See how a store is chosen for you.