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

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

Internet

http://hdl.handle.net/20.500.11937/81646

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