Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton
Improved software now makes Bayesian estimation a strong alternative to nonlinear maximum likelihood. Bayesian methods were used to estimate a linear response stochastic plateau for cotton and were shown to provide estimates similar to maximum likelihood. Optimal levels of nitrogen were lower than recommended levels.
|Date of creation:||Jan 2013|
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|Contact details of provider:|| Web page: http://www.saea.org/|
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