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The variance of computed apparent properties for each volume size is used to define the precision of the estimation.
More specifically, we define the precision of the first k recommendations provided by NextBug as follows: P_{q} k)= frac{|A_{q}(k) cap R_{q}|}{|A_{q} k)|}.
We first define the precision of a single gene g.
Divergence times are given as the mean and the 95% HPDs in millions of years, and the 95% HPDs intervals define the precision of estimation.
Statistical methods, such as hypothesis testing and CIs, can be used to make decisions and define the precision of the estimates.
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The translation and rotation for all six degrees of freedom of the prosthesis calculated from the midpoint are presented for the 12 acquisitions, with the mean and standard deviation, which defined the precision of zero motion.
The statistical parameter used for defining the precision of a fragment to predict the activity under investigation is the LR, calculated for each SA as: {text{Likelihood ratio}} = frac{text{TP}}{text{FP}} times frac{text{negatives}}{text{positives}}.
A topic for future work is to define the precision estimates of the IDLs, MDLs and background levels as a function of dilution density and replicates.
Given the association scores calculated for candidate genes, we define positive calls as all genes whose association scores are higher than a certain threshold and define the precision as the proportion of disease genes among the positive calls.
The wavefunction calculations minimize the sum of Hartee-Fock energy and the χ2 function which defines the precision level of the experimental structure factor against the calculated ones: χ 2 = 1 N r − N p ∑ h N r F h − F * h 2 σ 2 h (8).
It is useful to define the desired precision of p-value estimation as c, or the fraction of the significance threshold that equals the standard error in estimation, when p = α: (2) c = SE p ^ / α.
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