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Meyer’s major space of investigation is estimation and inference in statistical products with inequality constraints. This incorporates non-parametric purpose estimation employing constrained regression splines, density and hazard operate estimation with condition constraints, versions with get constraints. Meyer has been posted in STATISTICAL SCIENCE

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Cooley’s research is mainly in Severe benefit analysis, which aims to characterize the tail on the distribution. Especially, his exploration has centered on describing and modeling extremal dependence the two inside the multivariate and spatial situations.

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