Novel approach to the analysis of spatially-varying treatment effects in on-farm experiments

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Novel approach to the analysis of spatially-varying treatment effects in on-farm experiments

© 2020 With increasing interest in on-farm experiments, there is a pressing need to develop rigorous statistical methods for analysing these experiments. The adoption of advanced technologies such as yield monitors and variable-rate fertilizer applicators has enabled farmers and researchers to colle...

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Bibliographic Details
Main Authors:	Rakshit, Suman, Baddeley, Adrian, Stefanova, Katia, Reeves, Karyn, Chen, Kefei, Cao, Zhanglong, Evans, Fiona, Gibberd, Mark
Format:	Journal Article
Language:	English
Published:	Elsevier 2020
Subjects:	Science & Technology Life Sciences & Biomedicine Agronomy Agriculture Local likelihood Precision agriculture Geographically weighted regression Spatial nonstationarity Bandwidth selection Contour maps GEOGRAPHICALLY WEIGHTED REGRESSION OUT CROSS-VALIDATION FALSE DISCOVERY RATE R PACKAGE STATISTICAL-ANALYSIS MODELS AUTOCORRELATION TRIALS HETEROGENEITY PRECISION
Online Access:	http://hdl.handle.net/20.500.11937/81646

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