N-mixture models provide a structure for making inference about a local population size while accounting for imperfect detection. Using a binomial likelihood, they assume prior distributions on the size parameters and then integrate those parameters out of the full likelihood. For large population sizes, the established frequentist methods have exhibited...
Practical engineering design problems are generally multi-disciplinary with limited budget and high risk in terms of life loss, economic resources, etc. In the early phase of such problems, selection of true efficient designs is desired while minimizing overall design cost by avoiding expensive search processes. However, the task is difficult...
In this dissertation we present a compilation of the research conducted during the author’s doctoral program. In the first part, we discuss a case study regarding the impact of scholar-ships on student success at Oregon State University (OSU). Specifically, we look at the grad-uation and retention rates and aim to...
Turbines at wind projects pose a threat to birds and bats flying at altitudes within the rotor swept area. These animals die from colliding with the turbine blades. Estimating mortality, or the total number of bird or bat fatalities at a wind project, is critical to understanding environmental impacts of...
We describe spatio-temporal random processes using linear mixed models and discuss estimation, inference, and prediction under this formulation. We show how many commonly used covariances are special cases of this more general framework and pay special attention to the separable and product-sum covariances. The linear mixed model formulation facilitates straightforward...
Forest plantations in the Pacific Northwest are highly productive and have been intensively managed to maximize tree growth with practices such as Forest Vegetation Management (FVM). Different FVM regimes have been shown to enhance forest establishment by reducing the competition between the planted seedlings and early-seral vegetation. To better understand...
The detection and determination of clusters has been of special interest among researchers from different fields for a long time. In particular, assessing whether the clusters are significant is a question that has been asked by a number of experimenters. In Fuentes and Casella (2009), the authors put forth a...