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- W2789401587 abstract "Linear models along with multiple imputation method have become powerful tools for prediction and estimating missing data points. In this research, the collaboration between these two tools will be studied and then the tools will be deployed to estimate shrimp effort (actual hours of fishing per trip) in the Gulf of Mexico (GOM) for the years 2007 through 2014 using a simple form of a general linear model (GLM). Since there was a need for handling missing vessel lengths and the price per pound, multiple imputation method was deployed and missing data points including missing vessel lengths were estimated. An ad-hoc method was also used to estimate the missing vessel lengths and the results were compared with those obtained from the imputation method. As an application, a GLM was developed and used to estimate shrimp effort in the GOM for the years 2007 through 2014. The GLM included a few continuous and categorical variables. Additionally, the model was revised by including year as an independent variable and compared the results with the case of year-by-year estimates." @default.
- W2789401587 created "2018-03-29" @default.
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- W2789401587 date "2018-01-01" @default.
- W2789401587 modified "2023-09-23" @default.
- W2789401587 title "Estimating Missing Values via Imputation: Application to Effort Estimation in the Gulf of Mexico Shrimp Fishery, 2007-2014" @default.
- W2789401587 hasPublicationYear "2018" @default.
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