Different error types such as random and systematic error can potentially cause different effects in the behavior of probability distributions, particularly in the tails. In this work, we use the tail behavior of cumulative frequency distributions produced from uncertainty analyses to characterize the ...
Liu Y, Carranza EJM (2022) Uncertainty analysis of geochemical anomaly by combining sequential indicator co-simulation and local singularity analysis. Nat Resour Res 31(4):1889–1908 Google Scholar Liu R, Liu E, Yang J, Li M, Wang F (2006) Optimizing the hyper-parameters for SVM by comb...
The MCM uses the measurement uncertainty (including random and systematic effects arising from both sampling and analysis) and 'GPS coordinates uncertainty'. The measurements of Pb concentration across the site were log-normally distributed, and therefore log-transformed prior to modeling. The output ...
It is likely that PRVHASH's k-equidistribution of separate outputs is implicitly secure. The reason is that skipping or XORing creates uncertainty or entanglement of current output with system's state "hashword array length" of outputs back. 3 XORs are needed to provide preimage resistance, or...
The uncertainty in the size of the neighborhood reduces the reliability of the information acquired by the player when a yellow cell is clicked affwionnhrddiecfathahcvhemotvreasaarltgnuheseettoahefsfafNaticytfihueisennsccthaytoiroogwnfentroadifnnotdhtehoseemnlaSotusettprrhapaaltlveeleegmniaeegsnnt1...
An activity that produces a result or an outcome is called an experiment. It is an element of uncertainty as to which one of these occurs when we perform an activity or experiment. Usually, we may get a different number of outcomes from an experiment. However, when an experiment satisfies ...
Uncertainty and Promise: the Effects of Transcranial Direct Current Stimulation on Working Memory Article Background Non-invasive transcranial electrical stimulation (tES) is a promising technique for modulating several cognitive functions in various populations, including younger and older individuals and thos...
Multi-model combination in key steps for landslide susceptibility modeling and uncertainty analysis: a case study in Baoji City, China. Geomatics, Natural Hazards and Risk, 2024, 15(1): 2344804. DOI:10.1080/19475705.2024.2344804 115. Wu, T., Yu, K., Lu, S. et al. Multi-parameters ...
SummaryThe effects of excluding a set of random effects (U-effects) uncorrelated to breeding values (BV) on prediction error variance (PEV) is studied analytically. Two situations are considered for model comparison: (a) existence of a 'true' model, (b) uncertainty about which of the competin...
The REML estimator of maximizes the restricted log-likelihood function ln REML ( ) = ln ML ( ) − 1 2 ln ∣∑ X′ V− 1X ∣ + =1 2 ln(2 ) The REML method estimates by accounting for the uncertainty in the estimation of β, which leads to a nearly unbiased estimate of . ...