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- Author or Editor: Bernard J. Morzuch x
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Abstract
Econometric techniques are used to establish a functional relationship between cranberry yields and important precipitation, temperature, and sunshine variables. Crop forecasts are derived from the model and are used to establish posterior probabilities to be used in a Bayesian decision context pertaining to leasing space for the storage of the berries.
Abstract
Econometric techniques are used to establish a functional relationship between cranberry yields and important precipitation, temperature, and sunshine variables. Crop forecasts are derived from the model and are used to establish posterior probabilities to be used in a Bayesian decision context pertaining to leasing space for the storage of the berries.
Abstract
A Bayesian decision framework is used to determine the value of information from water sampling with respect to alternative pollution abatement strategies. The critical low stream flow months of August 1966-77 for a New England river basin are examined in a restricted ordinary least-squares regression analysis using daily river flows as hydrologic variables, daily precipitation, and policy variables representing hydro-power generating practices. Posterior probabilities for discrete states of water flow/quality are calculated from forecast confidence intervals.
Abstract
A Bayesian decision framework is used to determine the value of information from water sampling with respect to alternative pollution abatement strategies. The critical low stream flow months of August 1966-77 for a New England river basin are examined in a restricted ordinary least-squares regression analysis using daily river flows as hydrologic variables, daily precipitation, and policy variables representing hydro-power generating practices. Posterior probabilities for discrete states of water flow/quality are calculated from forecast confidence intervals.
