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.

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Year of publication:	2013-01
Authors:	Brorsen, B. Wade
Institutions:	Southern Agricultural Economics Association - SAEA
Subject:	Bayesian \| cotton \| lint yield \| nitrogen \| Oklahoma \| stochastic plateau \| Crop Production/Industries \| Farm Management \| Production Economics \| Research Methods/ Statistical Methods

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Extent:	application/pdf
Series:	2013 Annual Meeting, February 2-5, 2013, Orlando, Florida.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida Number 142951
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010914977