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However, in low signal-to-noise ratio (SNR) condition, the coarse estimation results by Moore-Penrose pseudo-inverse matrix have huge estimation errors to the true target distribution, which will introduce the large estimate deviations of target location and amplitude.
This model can be used to estimate deviations from the linear response regime on ET reactions in solution.
Thus, we exploited Tajima's D statistic [ 74], and Fu and Li's D* and F* tests [ 75] to estimate deviations from neutral expectations.
We estimated potential associations of calendar year, gestational age, and maternal age and parity at amniocentesis with each pollutant in generalized linear regression models with squared terms of the numerical explanatory variables to estimate deviations from linearity.
To determine whether a model of the population expansion was applicable to both populations we performed the neutrality tests of Tajima's D[ 51] and Fu and Li's D* and F*[ 57- 59] statistics to estimate deviations from selective neutrality.
To estimate deviations from the linear scaling for the mapping stage, we calculated the average Hadoop job time multiplied by the number of successful Hadoop jobs for each Dataset S1-S9.
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The estimate deviation is ~1% of that of [16] for low values of SNR.
So this paper utilizes the simple method to obtain a rather coarse, but little estimate deviation of x ̂.
Inequalities that estimate deviation of a function from its mean value using different characteristics of the function are usually called Ostrowski type inequalities.
Components of β 5 estimate deviation of LOR of each test from the overall LOR.
The fractional counting strategy appears to provide the optimal estimate: deviation from the true abundance is smallest for all subfamilies.
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