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Furthermore, distribution-based methods discriminate DCT coefficients using a probability framework based on three-sigma limits, where sigma denotes the standard deviation of the distribution.
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In the present study, a brucellosis herd prevalence and individual animal prevalence were observed in urban and peri-urban areas of Kampala using a probability sampling framework and a highly sensitive and specific diagnostic test: the CELISA.
Next generation performance-based earthquake engineering involves the use of a probability framework, which incorporates the inherent uncertainty and variability in seismic hazard, structural and non-structural responses, damage states and economic and casualty losses.
Bayesian inference use a priori information to estimate parameters and predict values in a probability framework.
Estimation problems in nonlinear state-space models are addressed mainly within a probability framework.
The CTMF and TMF have been computed by using the FOT probability framework.
The estimation of transition probabilities using a Markov chain framework assumes that the system converges and is in a steady state, which means that the probability does not depend on the observational period (Constant and Zimmermann 2014, p. 57).
In addition to measures of relative effects, analysis using a Bayesian framework can report estimates of treatment rank probabilities.
The probability of the converged data is then evaluated using a Bayesian framework.
This 'Algorithmic Links with Probabilities' (ALP) approach mines patent data using keywords extracted from industry descriptions and processes the resulting matches using a probabilistic framework.
Sayce advocates using a discrimination framework.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com