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The gain adaptation is implemented as the output of a stable filter using the squared norm of the measured output estimation error and the mismatch between each estimate and its saturated value.
Linear regression and Pearson's correlation coefficient were used to investigate the relationship between each estimate of renal function and DXA measured skeletal muscle mass.
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We also calculated straight line distances between each estimated origin and the nearest protected area.
For quantitative evaluation of clustering accuracy, we estimate the error by computing the symmetric Kullback Leibler (KL) divergence between each estimated Gaussian parameter and the associated true Gaussian parameter, where correspondence between the estimated and true Gaussians is first determined by a weighted bipartite graph matching 28 (also using symmetric KL divergence as matching cost).
As with the previous approach, the error of this approximation method was calculated by taking the absolute difference between each estimated percentile position and the corresponding reference value.The experiment described above was repeated across 100 replicate trees of each of two sizes (500 and 2000 tips), and across a range of tip set sizes (10, 20, 40, 80, 160 and 320).
StarMine scores each estimate between 0 and 100 based on the analyst's overall track record for predicting earnings and the timing of the estimate for each stock.
The "best fit" was quantitatively measured by the sum of the squared distances (SSD) between each time estimate and its corresponding fossil age.
A repeated measures within-subjects ANOVA was used to determine differences between each entropy estimate as a function of sampling frequency.
The selective phase model predicts that the spacing between each mesh (estimated to be between 3 and 6 nm based on the length of one repeat unit) defines the size limit for free diffusion through the hydrogel.
The maximum observed differences between two independent (50,000 iterations each) estimates of the covariance matrices were always less than approximately 10% of the smallest estimated covariance, indicating good convergence between runs.
On each read sample we estimated the line PSG parameters with both JR and EM and calculated the distance between each method's estimates and its estimates on the full read set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com