Principal Component Regression for Crop Yield Estimation
(Sprache: Englisch)
This book highlights the estimation of crop yield in CentralGujarat, especially with regard to the development of Multiple RegressionModels and Principal Component Regression (PCR) models using climatologicalparameters as independent variables and crop...
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
54.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Principal Component Regression for Crop Yield Estimation “
Klappentext zu „Principal Component Regression for Crop Yield Estimation “
This book highlights the estimation of crop yield in CentralGujarat, especially with regard to the development of Multiple RegressionModels and Principal Component Regression (PCR) models using climatologicalparameters as independent variables and crop yield as a dependent variable. Itsubsequently compares the multiple linear regression (MLR) and PCR results, anddiscusses the significance of PCR for crop yield estimation. In this context,the book also covers Principal Component Analysis (PCA), a statistical procedureused to reduce a number of correlated variables into a smaller number ofuncorrelated variables called principal components (PC). This book will behelpful to the students and researchers, starting their works on climate andagriculture, mainly focussing on estimation models. The flow of chapters takesthe readers in a smooth path, in understanding climate and weather and impactof climate change, and gradually proceeds towards downscaling techniques andthen finallytowards development of principal component regression models andapplying the same for the crop yield estimation.Inhaltsverzeichnis zu „Principal Component Regression for Crop Yield Estimation “
Introduction.- Principal Component Analysis In TransferFunction.- Review of Litrrature.- StudyArea and Data Collection.- Methodology.- Conclusions.
Autoren-Porträt von T. M. V. Suryanarayana, P. B Mistry
Dr. T. M. V. Suryanarayana is serving asAssociate Professor and recognized Ph.D. Guide in Water Resources Engineeringand Management Institute, The M. S. University of Baroda. He is ExecutiveCommittee Member of Indian Water Resources Society, Secretary and Treasurer ofGujarat Chapter of Association of Hydrologists of India and Joint Secretary ofIndian Society of Geomatics_Vadodara Chapter. He has 74 research paperspublished in various International/National Journals/ Seminars/ Conferences/Symposiums.Mr. P. B. Mistry has obtained B.E. (Civil-IrrigationWater Management) and M.E. (Civil) in Water Resources Engineering from The M.S.University of Baroda and is presently working as Assistant Professor in ParulUniversity, Vadodara. He is a life member of Indian Society of Geomatics andIndian Society for Hydraulics.
Bibliographische Angaben
- Autoren: T. M. V. Suryanarayana , P. B Mistry
- 2016, XVII, 67 Seiten, 67 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811006628
- ISBN-13: 9789811006623
- Erscheinungsdatum: 30.03.2016
Sprache:
Englisch
Kommentar zu "Principal Component Regression for Crop Yield Estimation"
Schreiben Sie einen Kommentar zu "Principal Component Regression for Crop Yield Estimation".
Kommentar verfassen