The boundary conditions of the liking bias in moral character judgments
Recent research has shown that moral character judgments are prone to the liking bias—well-liked people are seen as morally superior to disliked or neutral ones.
Konrad Bocian +4 more
doaj +3 more sources
Examining Potential Boundary Bias Effects in Kernel Smoothing on Equating: An Introduction for the Adaptive and Epanechnikov Kernels. [PDF]
Test equating is a method of making the test scores from different test forms of the same assessment comparable. In the equating process, an important step involves continuizing the discrete score distributions. In traditional observed-score equating, this step is achieved using linear interpolation (or an unscaled uniform kernel).
Cid JA, von Davier AA.
europepmc +4 more sources
Transformations to Reduce Boundary Bias in Kernel Density Estimation [PDF]
SUMMARY We consider kernel estimation of a univariate density whose support is a compact interval. If the density is non-zero at either boundary, then the usual kernel estimator can be seriously biased. ‘Reflection’ at a boundary removes some bias, but unless the first derivative of the density is 0 at the boundary the estimator with ...
Marron, J. S., Ruppert, D.
exaly +3 more sources
Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance [PDF]
The study of model bias and variance with respect to decision boundaries is critically important in supervised learning and artificial intelligence. There is generally a tradeoff between the two, as fine-tuning of the decision boundary of a classification model to accommodate more boundary training samples (i.e., higher model complexity) may improve ...
Wei Ding, Scott E Crouter, Yong Zhuang
exaly +2 more sources
Bulk and Boundary Zero-Bias Anomaly in Multiwall Carbon Nanotubes [PDF]
Physical Review ...
Reinhold Egger, Alexander O Gogolin
exaly +4 more sources
Multivariate bias correction of regional climate model boundary conditions
AbstractImproving modeling capacities requires a better understanding of both the physical relationship between the variables and climate models with a higher degree of skill than is currently achieved by Global Climate Models (GCMs). Although Regional Climate Models (RCMs) are commonly used to resolve finer scales, their application is restricted by ...
Jason P Evans, Youngil Kim
exaly +2 more sources
The diurnal cycle is often poorly reproduced in global climate model (GCM) simulations, particularly in terms of rainfall frequency and amplitude. While improvements in the regional climate model (RCM) with bias‐corrected boundaries have been reported in
Youngil Kim +2 more
doaj +2 more sources
Vital sign measurements demonstrate terminal digit bias and boundary effects
AbstractObjectiveThe measurement and recording of vital signs may be impacted by biases, including preferences for even and round numbers. However, other biases, such as variation due to defined numerical boundaries (also known as boundary effects), may be present in vital signs data and have not yet been investigated in a medical setting.
Stephen Bacchi +2 more
exaly +3 more sources
Tunable surface electromagnetic waves at a graphene–hypercrystal boundary under magnetic bias
Transverse magnetic (TM) and transverse electric (TE) surface electromagnetic waves supported by a graphene–hypercrystal interface are studied in the presence of an external static magnetic field. The system consists of a graphene monolayer placed at the
Illia Fedorin
doaj +3 more sources
Beta Kernel Estimator for a Cumulative Distribution Function with Bounded Support [PDF]
Kernel estimation of the cumulative distribution function (CDF), when the support of the data is bounded, suffers from bias at the boundaries. To solve this problem, we introduce a new estimator for the CDF with support (0,1) based on the beta kernel ...
Behzad Mansouri +2 more
doaj +1 more source

