Bayesian Inference: Application To Environmental Management And Decision-Making
dc.contributor.author | New Jersey. Department of Environmental Protection. Science Advisory Board. Ecological Processes Standing Committee | |
dc.date.accessioned | 2023-03-24T15:47:51Z | |
dc.date.available | 2023-03-24T15:47:51Z | |
dc.date.issued | 2014-04-25 | |
dc.description.abstract | Implementation of GIS based Bayesian inference into New Jersey Department of Environmental Protection’s (NJDEP) environmental monitoring “toolkit” has the potential to substantially improve monitoring efficiency and reduce long-term monitoring costs while simultaneously improving prediction capacity. In this context, the Scientific Advisory Board, Ecological Processes Standing Committee (EPSC) was tasked with addressing the overarching question: should the NJDEP evaluate and/or test Bayesian-based statistical analysis methods with the potential to substantially improve monitoring efficiency and outcomes in the near future? If so, what alternative methods should be evaluated? | en_US |
dc.identifier.uri | https://hdl.handle.net/10929/109881 | |
dc.language.iso | en_US | en_US |
dc.publisher | Trenton, N.J. : Department of Environmental Protection, Division of Science and Research | en_US |
dc.rights | The organization that has made the Item available reasonably believes that the Item is not restricted by copyright or related rights, but a conclusive determination could not be made. Please refer to the organization that has made the Item available for more information. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. | en_US |
dc.subject | New Jersey | en_US |
dc.subject | Bayesian statistical decision theory | en_US |
dc.title | Bayesian Inference: Application To Environmental Management And Decision-Making | en_US |
dc.type | Technical Report | en_US |
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