Using Bayesian Estimation and Decision Theory to Determine the Optimal Level of Nitrogen in Cotton
AbstractImproved 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.
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Bibliographic InfoPaper provided by Southern Agricultural Economics Association in its series 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida with number 142951.
Date of creation: Jan 2013
Date of revision:
Bayesian; cotton; lint yield; nitrogen; Oklahoma; stochastic plateau; Crop Production/Industries; Farm Management; Production Economics; Research Methods/ Statistical Methods; C11; Q12;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
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