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A theoretical and real world evaluation of two Bayesian techniques for the calibration of variety parameters in a sugarcane crop model.
Justin Sexton
Yvette Everingham
N. Geoff Inman-Bamber
Published in:
Environ. Model. Softw. (2016)
Keyphrases
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real world
mathematical model
measured data
sensitivity analysis
evaluation model
linear model
parameter values
parameter estimation
markov random field prior
parametric models
theoretical analysis
management system
wide range
least squares
objective function
bayesian learning
case study
genetic algorithm