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dc.contributor.authorHouston, Jack E.en_US
dc.contributor.authorAdhikari, Muralien_US
dc.contributor.authorPaudel, Laxmien_US
dc.contributor.editorHatcher, Kathryn J.en_US
dc.date.accessioned2013-06-20T23:40:59Z
dc.date.available2013-06-20T23:40:59Z
dc.date.issued2005-04
dc.identifier.urihttp://hdl.handle.net/1853/47893
dc.description.abstractA profit maximization model and an ARIMA model were developed to forecast water demand for broiler production. Broiler production decisions are made in three successive stages -- primary broiler breeding flock, hatchery flock, and finishing broiler production. The forecasted numbers of broilers from structural and ARIMA models diverge significantly from a USGS physical model. Analysis indicates 15% slippage in water demand forecasting related to disregarding the role of economic variables. We find that an appropriate lag structure can fully capture the information used in structural models, assuming no structural change.en_US
dc.description.sponsorshipSponsored by: Georgia Environmental Protection Division U.S. Geological Survey, Georgia Water Science Center U.S. Department of Agriculture, Natural Resources Conservation Service Georgia Institute of Technology, Georgia Water Resources Institute The University of Georgia, Water Resources Facultyen_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesGWRI2005. Poster and exhibit sessionen_US
dc.subjectWater resources managementen_US
dc.subjectBroiler productionen_US
dc.titleBroiler water demand: forecasting with structural and time series modelsen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameUniversity of Georgiaen_US
dc.contributor.corporatenameAlabama A & M Universityen_US
dc.publisher.originalInstitute of Ecology, The University of Georgiaen_US
dc.embargo.termsnullen_US


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