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Individual-parameter values, individual-predicted concentrations, and residuals are often estimated using a second "Bayes" estimation step using a different objective function (also called the post hoc, empirical Bayes or conditional estimation step).
Parameters of Gaussian multivariate models are often estimated using the maximum likelihood approach.
The auto- and cross-PSDs of the input binaural signal are often estimated using a first-order recursive averaging filter [22].
The developed TLB model and carbon map also includes the below ground biomass, which otherwise are often estimated using a default root to shoot ratio from AGB.
These probabilities are often estimated using logistic regression.
Heritabilities for survival traits are often estimated using a linear animal model [ 8, 13].
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Reliability is often estimated using Intraclass Correlation Coefficient (ICC) or Kappa analyses [15].
Fascicle length is often estimated using linear trigonometry to extrapolate fascicle length to regions where the fascicle is not visible.
Spring-in is often estimated using past experience or simple analytical formulas that ignores many process parameters affecting the spring-in.
The ESV is often estimated using different salt solutions to understand the compatibility of given clay soil for long-term engineering application such as landfills.
In the far-field the maximum resolution is often estimated using the Rayleigh Criterion.
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CEO of Professional Science Editing for Scientists @ prosciediting.com