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The GoM parameters estimation was derived using the DSIGoM software.
This estimation was derived from two different methodological approaches and both gave very similar results.
Sample size estimation was derived from the accuracy of the estimation of the 95% CI (two-sided) for each sensitivity and specificity value.
The sample size estimation was derived from the existing chemopreventive studies reporting a re-incidence of metachronous adenomas of about 45% at follow-up colonoscopy [ 13].
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Using duality arguments, an error estimation is derived for estimating the discretization error with respect to the aerodynamic force coefficients.
Making use of a semiparametric model to characterize the fMRI time series and the AR(p) to model the temporally correlated noise, a generalized least squares (GLS) estimator for voxelwise consistent nonparametric HRF estimation is derived.
Least squares estimation is derived, and the asymptotic distribution of the proposed estimator is established.
Even though the estimation is derived from a relatively short sample of 22 years, this estimate is in line with the recent estimations of Benati (2016) who considers a sample from 1948 to 2015.
The parameter estimation is derived from adequate objective functions measuring the discrepancy between the experimental and numerical modal data.
Sensitivity equations for mass and stiffness parameters estimation are derived using decomposed form of the strain-based transfer functions.
The estimation is derived without adopting conventional performance modeling assumptions, such as Poisson arrivals or exponential holding times, thus allowing non-standard behaviour patterns, including special phenomena of IP networks, such as self-similarity.
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CEO of Professional Science Editing for Scientists @ prosciediting.com