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To estimate σ T (v) approximately, we can use MC simulation, i.e., simulate the influence spread process a sufficient number of times, re-choosing the thresholds uniformly at random, and use the arithmetic mean of the results instead of the EIS.
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Regarding the ideal interference (CCI is approximately 0), we can derive a new expression of BER as follows: □.
By slightly weakening the assumption of orthogonality, and instead assuming that the various gi are only approximately orthogonal, we can avoid this difficulty, however.
On the other hand, given that the average is approximately zero, we can state that, in this case, the algorithm makes no error.
Analogously, if there are grounds to believe moral reasoning starts out approximately true, we can legitimately view the presupposition-heavy method of reflective equilibrium as one of discovery and not merely construction (Boyd 1988).
However, based on the assumption of the bias remains approximately constant, we can argue that the noise-eliminated distance vector which is estimated by the KF is not changing rapidly.
For approximately $150,000, we can get these men and women working.
Thus, assuming that evolution at synonymous sites is approximately neutral, we can expect ~7 and ~4 nonsynonymous substitutions at a codon in these trees, as long as selective constraint is absent.
The planned recruitment period for this study is one year, with inclusion of all incident cases in the 12 largest municipalities (areas) in Scania (total population of approximately 800,000), and we can expect approximately 1,600 new cases in the region during that year.
The vector x is assumed to be approximately sparse and we can use a K-sparse vector x K to approximate it when the energy of (mathbf {x}_{K}^{c}=mathbf {x}-mathbf {x}_{K}) is very small, where x K is K-sparse that is the best K-term approximation of x, i.e., the nonzero entries in x K correspond to the K largest (in magnitude) entries in x.
For each of the (approximately) stationary periods we can then compare the distribution of events per day as a measure of the day-by-day microstructure of the data using a two-sample Anderson-Darling test.
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CEO of Professional Science Editing for Scientists @ prosciediting.com