Multilinear Models for the Prediction of Brown Shrimp Harvest in Mississippi Waters
A multilinear regression analysis of water temperature, salinity, and number of postlarval brown shrimp in nursery areas was used to predict the June and July commercial harvest of brown shrimp in Mississippi waters. A total of 80.2% of the variation in harvest was accounted for by this model. When an effort variable was added to the equation, the amount of variation explained by these parameters increased to 85.4%. The coefficients of the two multilinear equations were recalculated exclusive of the data set for the last year to test the predictive capabilities of the models. For that year, the first model showed a percent error of 38.2%, and the second model, 35.3%.
Sutter, F. C. III and J. Christmas.
Multilinear Models for the Prediction of Brown Shrimp Harvest in Mississippi Waters.
Gulf Research Reports
Retrieved from https://aquila.usm.edu/gcr/vol7/iss3/2