Estimating nitrogen percolation relationships: An application of tobit analysis

Autor: Mark L. Teague, S. Geleta, George J. Sabbagh, Daniel J. Bernardo
Rok vydání: 1994
Předmět:
Zdroj: Agricultural Systems. 45:155-173
ISSN: 0308-521X
DOI: 10.1016/0308-521x(94)90176-g
Popis: Regression analysis is used to complement a simulation model by synthesizing a large amount of data into concise results. The crop growth/chemical fate simulation model EPIC-PST is used to estimate annual nitrogen percolation loadings under irrigated wheat and corn production for various soil types, irrigation systems, and management practices. Tobit analysis synthesized these results and provided information about the effect of selected variables (e.g. irrigation level and nitrogen applied) on the expected value and the probability of nitrogen percolation events. The tobit results can be used to make field recommendations and policy prescriptions based on EPIC-PST output.
Databáze: OpenAIRE