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Activity Number: 192 - Contributed Poster Presentations: Section on Statistics and the Environment
Type: Contributed
Date/Time: Monday, July 30, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract #329334
Title: Optimal Sampling Regime for Estimating Population Dynamics
Author(s): Rebecca Bergee* and Edward L Boone and Ryad Ghanam
Companies: and Virginia Commonwealth University and Virginia Commonwealth University
Keywords: Bayesian Statistics ; Design of Experiments; Differential Equations; Population Dynamics

Environmental managers are interested in the composition of species in waterways in northern Queensland, Australia. Traditionally, the sampling of the species composition has been recorded on a regular time frequency. However, the locations of the sampling sites are limited in access making sampling quite expensive. We propose a new and novel approach to selecting sampling times based on the dynamics associated with the populations of species residing in the site. This employs the use of the predator-prey models, such as the Lotka-Volterra differential equations, to simulate species composition. Results will be provided for each of the following optimality criteria, A optimal, E optimal, D optimal, and predictive performance.

Authors who are presenting talks have a * after their name.

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