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Understanding extreme behavior by optimizing tail dependence with application to ground level ozone via data mining and spatial modeling

Russell, Brook T., author, Cooley, Daniel S., advisor, Hoeting, Jennifer, committee member, Wang, Haonan, committee member, Schumacher, Russ, committee memberColorado State University. Libraries2015

… and is based on the framework of bivariate regular variation. We propose a data mining strategy that is suitable for an analysis of ground level ozone, and spatially model the primary drivers of extreme ozone over a large study region. In this dissertation, we first review statistical …

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