Accession Number : ADA552536


Title :   Bayesian Networks for Modeling Dredging Decisions


Descriptive Note : Final rept.


Corporate Author : ENGINEER RESEARCH AND DEVELOPMENT CENTER VICKSBURG MS ENVIRONMENTAL LAB


Personal Author(s) : Schultz, Martin T ; Borrowman, Thomas D ; Small, Mitchell J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a552536.pdf


Report Date : Oct 2011


Pagination or Media Count : 75


Abstract : This report introduces Bayesian networks and describes how they can be used to model dredging decisions when uncertainties are present. Bayesian networks are efficient representations of joint probability distributions that can be used to perform statistical inference over a large number of random variables. An example application is developed and presented for a realistic estuarine dredging decision problem to demonstrate the method. The decision model is applied to analyze the value of obtaining additional information about selected variables that are sources of uncertainty in the decision.


Descriptors :   *DECISION MAKING , *DREDGING , *UNCERTAINTY , PROBABILITY DISTRIBUTION FUNCTIONS , STATISTICAL INFERENCE


Subject Categories : Statistics and Probability
      Operations Research
      Civil Engineering


Distribution Statement : APPROVED FOR PUBLIC RELEASE