Matches in SemOpenAlex for { <https://semopenalex.org/work/W2785659715> ?p ?o ?g. }
Showing items 1 to 57 of
57
with 100 items per page.
- W2785659715 abstract "Utilizing Bayesian hierarchical techniques, regional-scale eutrophication models were developed for use in the Total Maximum Daily Load (TMDL) process. The Bayesian tree-based (BTREED) approach allows association of multiple environmental stressors with biological responses, and quantification of uncertainty sources in the water quality model. Simple parametric models are often inadequate for describing complex datasets; the BTREED approach partitions the dataset, and describes the localized subsets of data with linear models, thereby providing a comprehensive representation of stressor and response interactions. Nutrient criteria data for lakes, ponds and reservoirs across the United States were obtained from the Environmental Protection Agency (U.S. EPA) National Nutrient Criteria Database. Model estimation was accomplished by randomly splitting the composite dataset into training and test sets, and using the training dataset in model estimation, and the test dataset to evaluate and validate the model. Mean squared error was reported for both training and test data of the highest log-likelihood models. The Bayesian approach to regional-scale eutrophication models is also beneficial from a decision-theoretic perspective. Predictions regarding the variable of interest are quantified by probability distributions, providing the decision maker with valuable information about the distribution of the biological response conditional on the stressors, and information about the model error." @default.
- W2785659715 created "2018-02-23" @default.
- W2785659715 creator A5063704738 @default.
- W2785659715 date "2022-06-16" @default.
- W2785659715 modified "2023-10-03" @default.
- W2785659715 title "Regional-scale eutrophication models: a Bayesian treed model approach" @default.
- W2785659715 doi "https://doi.org/10.31390/gradschool_theses.3913" @default.
- W2785659715 hasPublicationYear "2022" @default.
- W2785659715 type Work @default.
- W2785659715 sameAs 2785659715 @default.
- W2785659715 citedByCount "0" @default.
- W2785659715 crossrefType "dissertation" @default.
- W2785659715 hasAuthorship W2785659715A5063704738 @default.
- W2785659715 hasBestOaLocation W27856597151 @default.
- W2785659715 hasConcept C105795698 @default.
- W2785659715 hasConcept C107673813 @default.
- W2785659715 hasConcept C119857082 @default.
- W2785659715 hasConcept C124101348 @default.
- W2785659715 hasConcept C144986985 @default.
- W2785659715 hasConcept C154945302 @default.
- W2785659715 hasConcept C160234255 @default.
- W2785659715 hasConcept C191413810 @default.
- W2785659715 hasConcept C205649164 @default.
- W2785659715 hasConcept C2778755073 @default.
- W2785659715 hasConcept C33923547 @default.
- W2785659715 hasConcept C41008148 @default.
- W2785659715 hasConcept C58640448 @default.
- W2785659715 hasConceptScore W2785659715C105795698 @default.
- W2785659715 hasConceptScore W2785659715C107673813 @default.
- W2785659715 hasConceptScore W2785659715C119857082 @default.
- W2785659715 hasConceptScore W2785659715C124101348 @default.
- W2785659715 hasConceptScore W2785659715C144986985 @default.
- W2785659715 hasConceptScore W2785659715C154945302 @default.
- W2785659715 hasConceptScore W2785659715C160234255 @default.
- W2785659715 hasConceptScore W2785659715C191413810 @default.
- W2785659715 hasConceptScore W2785659715C205649164 @default.
- W2785659715 hasConceptScore W2785659715C2778755073 @default.
- W2785659715 hasConceptScore W2785659715C33923547 @default.
- W2785659715 hasConceptScore W2785659715C41008148 @default.
- W2785659715 hasConceptScore W2785659715C58640448 @default.
- W2785659715 hasLocation W27856597151 @default.
- W2785659715 hasOpenAccess W2785659715 @default.
- W2785659715 hasPrimaryLocation W27856597151 @default.
- W2785659715 hasRelatedWork W1548970483 @default.
- W2785659715 hasRelatedWork W1849121211 @default.
- W2785659715 hasRelatedWork W1972996235 @default.
- W2785659715 hasRelatedWork W2074519092 @default.
- W2785659715 hasRelatedWork W2400360137 @default.
- W2785659715 hasRelatedWork W2991632818 @default.
- W2785659715 hasRelatedWork W3041344728 @default.
- W2785659715 hasRelatedWork W3203735501 @default.
- W2785659715 hasRelatedWork W4207072374 @default.
- W2785659715 hasRelatedWork W4386384581 @default.
- W2785659715 isParatext "false" @default.
- W2785659715 isRetracted "false" @default.
- W2785659715 magId "2785659715" @default.
- W2785659715 workType "dissertation" @default.