نتائج البحث

Diagnosing Undersampling Biases in Monte Carlo Eigenvalue and Flux Tally Estimates

• Authors : Marshall, William [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)]

• Source: Nuclear Science and Engineering; 185; 1

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Collaborative Project: Understanding Climate Model Biases in Tropical Atlantic and Their Impact on Simulations of Extreme Climate Events

• Authors : Chang, Ping [Texas A & M Univ., College Station, TX (United States)]

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Shape measurement biases from underfitting and ellipticity gradients

• Authors : Bernstein, Gary [Univ. of Pennsylvania, Philadelphia, PA (United States)]

• Source: Monthly Notices of the Royal Astronomical Society; 406; 4

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Continued Investigation of Metrics for Predicting Undersampling Biases in Monte Carlo Simulations

• Authors : PERFETTI, CHRISTOPHER [ORNL] (ORCID:0000000252301302)

• Source: Conference: M&C 217 - Jeju, , South Korea - 4/16/2017 12:00:00 AM-

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Selection biases in empirical p(z) methods for weak lensing

• Authors : Brimioulle, F. [Max Planck Inst. for Extraterrestrial Physics, Garching (Germany)]

• Source: Monthly Notices of the Royal Astronomical Society; 468; 1

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Velocity segregation and systematic biases in velocity dispersion estimates with the SPT-GMOS spectroscopic survey

• Authors : Zenteno, Alfredo [Cerro Tololo Inter-American Observatory, La Serena (Chile)]

• Source: The Astrophysical Journal (Online); 837; 1

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Velocity Segregation and Systematic Biases in Velocity Dispersion Estimates with the SPT-GMOS Spectroscopic Survey

• Authors : Zenteno, Alfredo

• Source: The Astrophysical Journal (Online); 837; 1

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Simulations of Polarization Levels and Spin Tune Biases in High Energy Leptons Storage Rings

• Authors : Gianfelice, E. [Fermilab]

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Moist Process Biases in Simulations of the Madden–Julian Oscillation Episodes Observed during the AMIE/DYNAMO Field Campaign

• Authors : Berg, Larry [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)]

• Source: Journal of Climate; 29; 3

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Using Eye Tracking to Assess Cognitive Biases.

• Authors : McNamara, Laura

• Source: Conference: Proposed for presentation at the IEEE VIS 2014 held November 9-14, 2014 in Paris, France.

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