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dc.contributor.authorClainos, D. M.
dc.contributor.authorDuckstein, L.
dc.contributor.authorRoefs, T. G.
dc.date.accessioned2013-08-28T23:21:48Z
dc.date.available2013-08-28T23:21:48Z
dc.date.issued1972-05-06
dc.identifier.issn0272-6106
dc.identifier.urihttp://hdl.handle.net/10150/300211
dc.descriptionFrom the Proceedings of the 1972 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - May 5-6, 1972, Prescott, Arizonaen_US
dc.description.abstractThe use of discrete conditional dependency matrices as input to stochastic decision models is examined. Some of the problems and initial assumptions involved with the construction of the above mentioned matrices are discussed. Covered in considerable detail is the transform used to relate the gamma space with the normal space. A new transform is introduced that should produce reasonable results when the record of streamflow (data) has a highly skewed distribution. Finally, the possibility of using the matrices to provide realistic inputs to a stochastic dynamic program is discussed.
dc.language.isoen_USen_US
dc.publisherArizona-Nevada Academy of Scienceen_US
dc.rightsCopyright ©, where appropriate, is held by the author.en_US
dc.subjectHydrology -- Arizona.en_US
dc.subjectWater resources development -- Arizona.en_US
dc.subjectHydrology -- Southwestern states.en_US
dc.subjectWater resources development -- Southwestern states.en_US
dc.subjectInput-output analysisen_US
dc.subjectStochastic processesen_US
dc.subjectDecision makingen_US
dc.subjectOptimizationen_US
dc.subjectOperations researchen_US
dc.subjectRegulationen_US
dc.subjectReservoir operationen_US
dc.subjectLinear programmingen_US
dc.subjectDynamic programmingen_US
dc.subjectSimulation analysisen_US
dc.subjectMathematical studiesen_US
dc.subjectProbabilityen_US
dc.subjectNumerical analysisen_US
dc.subjectStreamflowen_US
dc.subjectWatershed managementen_US
dc.subjectComputer programsen_US
dc.titleInput Specifications to a Stochastic Decision Modelen_US
dc.typetexten_US
dc.typeProceedingsen_US
dc.contributor.departmentSystems and Industrial Engineering Department, University of Arizonaen_US
dc.contributor.departmentHydrology and Water Resources Department, University of Arizonaen_US
dc.identifier.journalHydrology and Water Resources in Arizona and the Southwesten_US
dc.description.collectioninformationThis article is part of the Hydrology and Water Resources in Arizona and the Southwest collections. Digital access to this material is made possible by the Arizona-Nevada Academy of Science and the University of Arizona Libraries. For more information about items in this collection, contact anashydrology@gmail.com.en_US
refterms.dateFOA2018-08-30T13:38:41Z
html.description.abstractThe use of discrete conditional dependency matrices as input to stochastic decision models is examined. Some of the problems and initial assumptions involved with the construction of the above mentioned matrices are discussed. Covered in considerable detail is the transform used to relate the gamma space with the normal space. A new transform is introduced that should produce reasonable results when the record of streamflow (data) has a highly skewed distribution. Finally, the possibility of using the matrices to provide realistic inputs to a stochastic dynamic program is discussed.


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