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Автор Andersen, Jay C.
Автор Hiskey, Harold H.
Автор Lackawathana, Suwaphot
Дата выпуска 1971
dc.description Statistical or Bayesian decision theory was applied to a farm management situation in Sevier County, Utah, which is characterized by risk and uncertainty with respect to the supply of late season water. Information on reservoir carry‐over and mountain snowpack becomes available just before resources must be committed. These data are incorporated into the model as predictors of the late season water supply. Use of this predictive information is compared to the ‘no data’ situation, in which the predictive information is not used, and also to the ‘perfect knowledge’ situation, in which the availability of full information at the time of resource commitment is assumed. A limited growing season and other physical constraints along with lack of markets restrict the flexibility of the management decisions so that the profitability of adapting the technique is not great in the present application. However, the technique is shown to be usable and potentially profitable in a variety of management situations.
Формат application.pdf
Копирайт Copyright 1971 by the American Geophysical Union.
Название Application of Statistical Decision Theory to Water Use Analysis in Sevier County, Utah
Тип article
DOI 10.1029/WR007i003p00443
Electronic ISSN 1944-7973
Print ISSN 0043-1397
Журнал Water Resources Research
Том 7
Первая страница 443
Последняя страница 452
Выпуск 3
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