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Search Publications by: Adam L. Pintar (Fed)

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Displaying 76 - 100 of 116

Maps of Non-hurricane Non-tornadic Wind Speeds With Specified Mean Recurrence Intervals for the Contiguous United States Using a Two-Dimensional Poisson Process Extreme Value Model and Local Regression

November 12, 2015
Author(s)
Adam L. Pintar, Emil Simiu, Franklin T. Lombardo, Marc L. Levitan
This report describes a procedure for creating maps of non-hurricane, non-tornadic wind speeds for a set of recurrence intervals of interest between \num{10} and \num{100000} years over the contiguous United States. The procedure is carried out in two

Greenhouse Gas Emissions and Dispersion 3. Reducing Uncertainty in Estimating Source Strength and Location through Plume Inversion Models

September 30, 2015
Author(s)
Kuldeep R. Prasad, Adam L. Pintar, Heming Hu, Israel Lopez Coto, Dennis T. Ngo, James R. Whetstone
Recent development of accurate instruments for measuring greenhouse gas concentrations and the ability to mount them in ground based vehicles has provided an opportunity to make temporally and spatially resolved measurements in the vicinity of suspected

Absolute Calibration of a Variable Attenuator Using Few-Photon Pulses

June 12, 2015
Author(s)
Zachary H. Levine, Boris L. Glebov, Adam L. Pintar, Alan L. Migdall
We demonstrate the ability to calibrate a variable optical attenuator directly at the few photon level using a Superconducting Transition Edge Sensor (TES). Because of the inherent linearity of photon number resolving detection, no ex- ternal calibrations

Prediction of Sealant Modulus Change due to Outdoor Weathering

May 13, 2015
Author(s)
Christopher C. White, Kar T. Tan, Donald L. Hunston, Adam L. Pintar, James J. Filliben
An empirically-based model has been created to predict the change in modulus for a sealant exposed to outdoor weathering. The underlying high precision data supporting this model was obtained using the NIST SPHERE (Simulated Photo degradation by High

Monitoring Process Variability for Stationary Process Data

June 20, 2014
Author(s)
Nien F. Zhang, Adam L. Pintar
Processes that arise naturally, e.g., from manufacturing or the environment, often exhibit complicated autocorrelation structures. When monitoring such a process for changes in variance, accounting for that autocorrelation structure is critical. While

Mapping Return Values of Extreme Wind Speeds

December 31, 2013
Author(s)
Adam L. Pintar
Structures subjected to wind loads must be designed to perform adequately from the points of view of stress and serviceability. Wind loading specified for design is based in part on the wind speeds affecting the site of interest. A particular quantity of

Statistical Prediction of Sealant Modulus Change due to Outdoor Weathering

October 17, 2013
Author(s)
Christopher C. White, Kar T. Tan, Donald L. Hunston, Adam L. Pintar, James J. Filliben
Recently a statistically based model has been created to predict the change in modulus for a sealant exposed to outdoor weathering. The underlying high precision data supporting this model was obtained using the NIST SPHERE (Simulated Photo degradation by

Statistical Methods for Change-Point Detection in Surface Temperature Records

September 12, 2013
Author(s)
Adam L. Pintar, Antonio M. Possolo, Nien F. Zhang
We describe several statistical methods to detect possible change-points in a time series of values of surface temperature measured at a meteorological station, and to assess the statistical significance of such changes, taking into account the natural
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