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Acknowledgements I would like to thank Mr. Mark Hudy for his support and leadership through the completion of this study. His assistance in project design, implementation, and data analysis will no doubt benefit my career and future success in the management of natural resources and environmental research. I would also like to thank additional committee(More)
—Data collected on the population status (extirpated or present) of brook trout Salvelinus fontinalis at the landscape level across the eastern United States is useful for identifying important stressors and predicting brook trout status at the watershed level. However, when dealing with data compiled over a large region, a single model may not adequately(More)
(ABSTRACT) Bayesian optimal designs have received increasing attention in recent years, especially in biomedical and clinical trials. Bayesian design procedures can utilize the available prior information of the unknown parameters so that a better design can be achieved. However, a difficulty in dealing with the Bayesian design is the lack of efficient(More)
We study a model-based clustering procedure that aims to identify geographic regions with distinctive relationships among ecological and environmental variables. We use a finite mixture model with a distinct linear regression model for each mixture component, relating a measure of environmental quality to multiple regressors. Component-specific values of(More)
There is significant evidence that active learning techniques facilitate superior learning outcomes when compared to traditional lecture-based techniques. However, adopting an entirely new pedagogy is a time-consuming endeavor that requires considerable effort. In this work, we describe simple transitional steps that we used to increase the amount of active(More)
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