Comparisons of Boosted Regression Tree, GLM and GAM Performance in the Standardization of Yellowfin Tuna Catch-Rate Data from the Gulf of Mexico Longline Fishery
Recent advances in statistical understanding have focused fisheries research attention on addressing the theoretical and statistical issues encountered in standardizing catch-rate data. Similarly, the present study evaluates the performance of boosted regression trees (BRT), the product of recent pr...
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| Format: | Others |
| Language: | en |
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LSU
2009
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| Online Access: | http://etd.lsu.edu/docs/available/etd-11042009-152651/ |