Leslie M. Moore

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Sequential experiment design strategies have been proposed for efficiently augmenting initial designs to solve many problems of interest to computer experimenters, including optimization, contour and threshold estimation, and global prediction. We focus on batch sequential design strategies for achieving maturity in global prediction of discrepancy inferred(More)
This paper addresses the analysis of uncertainty in the output of computer models arising from uncertainty in inputs (parameters). Uncertainty of this type, which is separate and distinct from the randomness of a stochastic model, most often arises when proper input values are imprecisely known. Uncertainty in the output is quantified in its probability(More)
We describe statistical methods for sensitivity and performance analysis of complex computer simulation experiments. Graphical methods, such as trellis plots, are suggested for exploratory analysis of individual or aggregate performance metrics conditional on different experiment inputs. More formal statistical methods, such as analysis of variance-based(More)
Determining optimal surveillance networks for an emerging pathogen is difficult since it is not known beforehand what the characteristics of a pathogen will be or where it will emerge. The resources for surveillance of infectious diseases in animals and wildlife are often limited and mathematical modeling can play a supporting role in examining a wide range(More)
Statistical science and metrology are intertwined. Measurement quality affects what can be learned from data collected and processed using statistical methods, and appropriate data collection and analysis quantifies the quality of measurements. Metrologists have long understood this and have often developed their own statistical methodologies and emphases.(More)
We describe statistical methods for sensitivity and performance analysis of complex computer simulation experiments. Graphical methods, such as trellis plots, are suggested for exploratory analysis of individual or aggregate performance metrics conditional on different experiment inputs. More formal statistical methods, such as analysis of variance-based(More)