Results 31 to 40 of about 1,709,075 (283)
Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation
Recognizing and classifying natural or artificial geo-objects under complex geo-scenes using remotely sensed data remains a significant challenge due to the heterogeneity in their spatial distribution and sampling bias.
Lianfa Li, Zhiping Zhu, Chengyi Wang
doaj +1 more source
Sample Bias in Caregiving Research [PDF]
Data on subject selection biases in research with older adults are limited. We conducted two sample bias studies that assessed primary caregivers for dementia patients. The first study compared 46 caregivers, who required home interviews, with 63 caregivers willing to travel to the university hospital for assessment; all subjects had been offered free ...
J R, Dura, J K, Kiecolt-Glaser
openaire +2 more sources
Longitudinal social surveys are widely used to understand which factors enable or constrain access to higher education. One such data resource is the Next Steps survey comprising an initial sample of 16,122 pupils aged 13–14 attending English state and ...
Nadia Siddiqui +2 more
doaj +1 more source
Micronekton were sampled off the southwest coast of Oahu in October of 2004 as part of the North Pacific Marine Sciences Organization (PICES) Micronekton Sampling Gear Intercalibration experiment (MIE-1).
Lian E. Kwong +5 more
doaj +1 more source
Fourier Analysis of Stochastic Sampling Strategies for Assessing Bias and Variance in Integration [PDF]
Each pixel in a photorealistic, computer generated picture is calculated by approximately integrating all the light arriving at the pixel, from the virtual scene. A common strategy to calculate these high-dimensional integrals is to average the estimates
Kautz, Jan, Subr, Katric
core +1 more source
Estimation Bias in Maximum Entropy Models
Maximum entropy models have become popular statistical models in neuroscience and other areas in biology and can be useful tools for obtaining estimates of mutual information in biological systems.
Jakob H. Macke +2 more
doaj +1 more source
Optimizing noninvasive sampling of a zoonotic bat virus
Outbreaks of infectious viruses resulting from spillover events from bats have brought much attention to bat‐borne zoonoses, which has motivated increased ecological and epidemiological studies on bat populations.
John R. Giles +5 more
doaj +1 more source
Small sample bias correction or bias reduction?
Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood or of similar types).
Xuemao Zhang, Sudhir Paul, You-Gan Wang
openaire +3 more sources
Sparse sampling, galaxy bias, and voids [PDF]
To study the impact of sparsity and galaxy bias on void statistics, we use a single large-volume, high-resolution N-body simulation to compare voids in multiple levels of subsampled dark matter, halo populations, and mock galaxies from a Halo Occupation ...
Hamaus, Nico +5 more
core +2 more sources
Species distribution modeling (SDM) is an essential method in ecology and conservation. SDMs are often calibrated within one country's borders, typically along a limited environmental gradient with biased and incomplete data, making the quality of these ...
Ahmed El‐Gabbas, Carsten F. Dormann
doaj +1 more source

