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Search Publications by: Antonio Possolo (Fed)

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Displaying 76 - 100 of 115

Five Examples of Assessment and Expression of Measurement Uncertainty

February 12, 2013
Author(s)
Antonio M. Possolo
It is a long accepted tenet of scientific practice that every measurement result ought to include a statement of uncertainty associated with the measured value, and that such uncertainty should be propagated to derivative products. It is also widely

Meteorological extremes

December 28, 2012
Author(s)
Franklin T. Lombardo, Adam L. Pintar, Antonio Possolo, Emil Simiu, DongHun Yeo
This entry reviews basic principles of the statistical analysis of large extreme values (EVs), the role of simulations for the development of relevant meteorological data sets, the interaction between the extreme value modeling process and its application

Three-dimensional Shape Metrology for Tissue Engineering

April 21, 2012
Author(s)
Joy P. Dunkers, Antonio M. Possolo, Thomas V. Lafarge, Beatriz Pateiro-Lopez, Jeffrey Coles, Carl G. Simon Jr.
The physical and chemical properties of a tissue scaffold influences cell response and therefore the success of the resulting tissue construct. Scaffold structure from nanometers to millimeters can direct cell behavior, from viability to proliferation to

Model-Based Interpolation, Prediction, and Approximation

January 1, 2012
Author(s)
Antonio M. Possolo
Model-based interpolation, prediction, and approximation are contingent on the choice of model: since multiple alternative models typically can reasonably be entertained for each of these tasks, and the results are correspondingly varied, this often is a

Social and Physical Aspects of Seismic Risk

December 31, 2011
Author(s)
Carmen D. Gon?alves, Antonio Possolo
Seismic risk has social and physical aspects: although very different in nature, they are intertwined and share striking similarities. Seismic risk assessment involves models and data, and judgments of the potential impact of earthquakes, which must be

Examination of United States Carbon Dioxide Emission Databases

June 10, 2011
Author(s)
Robert P. Borthwick, James Whetstone, Jiann C. Yang, Antonio Possolo
This paper compared carbon dioxide emissions from plants obtained in two ways, first from the US Department of Energy, Energy Information Administration EIA-767 database and EIA-1605 Greenhouse Gas Reporting Program guidelines and second from the U.S. Envi

Nodal Analysis Estimates of Fluid Flow from the BP Macondo MC252 Well

March 10, 2011
Author(s)
George Guthrie, Rajesh Pawar, Curt Oldenburg, Todd Weisgraber, Grant Bromhal, Phil Gauglitz, John Bernardin, David Dixon, Rick Kapernick, Bruce Letellier, Brett Okhuysen, Robert Reid, Barry M. Freifeld, Karsten Pruess, Lehua Pan, Stefan Finsterle, George J. Moridis, Matthew T. Reagan, Thomas A. Buscheck, Christopher M. Spadaccini, Roger D. Aines, Brian Anderson, Robert Enick, Roy Long, Shahab Mohaghegh, Bryan Morreale, Neal Sams, Doug Wyatt, L A. Mahoney, J A. Bamberger, J Blanchard, J Bontha, C W. Enderlin, J A. Fort, P A. Meyer, Y Onishi, D M. Pfund, D R. Rector, M L. Stewart, B E. Wells, S T. Yokuda, Antonio Possolo, William F. Guthrie, Pedro I. Espina
The Nodal-Analysis Team within the Flow Rate Technical Group predicted the flow-related pressure drops from the reservoir to release points to estimate flow rates for various time periods for the Macondo well. These estimates were based on predictions from

Calibration and uncertainty assessment for certified reference gas mixtures

January 13, 2011
Author(s)
Franklin R. Guenther, Antonio M. Possolo
The method to build an analysis function described in ISO 6143, Gas analysis - Comprarison methods for determining and checking the composition of calibration gas mixtures, is extended to recognize the typically small number of instrumental readings

Laplace Random Effects Models for Interlaboratory Studies

November 25, 2010
Author(s)
Andrew L. Rukhin, Antonio M. Possolo
A model is introduced for measurements obtained in collaborative interlaboratory studies, comprising measurement errors and random laboratory effects that have Laplace distributions, possibly with heterogeneous, laboratory-specific variances. Estimators

Statistical Modeling of Harvestable Kinetic Energy for Wearable Medical Sensors

June 15, 2010
Author(s)
Nathalie Yarkony, Kamran Sayrafian, Antonio Possolo
Energy Harvesting (EH) refers to the process of capturing and storing energy from external sources or ambient environment. Kinetic energy harvested from the human body motion seems to be one of the most convenient and attractive solution for wearable

Copulas for Uncertainty Analysis

April 20, 2010
Author(s)
Antonio M. Possolo
Applying the Monte Carlo method for propagation of measurement uncertainty described in the GUM Supplement 1, when the input quantities are correlated, involves the specification of a joint probability distribution for these quantities. In practice