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.


Issue Date:
2013-01
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/142951
Total Pages:
14
JEL Codes:
C11; Q12




 Record created 2017-04-01, last modified 2017-08-26

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)