Sentence examples for previous weighted from inspiring English sources

Exact(3)

As pointed out before, we present here some inequalities involving three means among the previous weighted means.

The previous weighted means are included in a general class of means, so-called weighted power (binomial) mean, defined through A_{r,lambda}(a,b)= bigl((1-lambda)a^{r}+lambda b^{r} bigr)^{1/r}, where (rneq0) is a parameter real number.

To justify that our previous weighted means are good extensions of their related symmetric means, we establish that they satisfy the following chain of inequalities: H_{lambda}< G_{lambda}< L_{lambda}< P_{lambda}< A_{lambda}< M_{lambda }< T_{lambda}< Q_{lambda}.

Similar(56)

18 These methods represent exposure history by the weighted cumulative dose (WCD) of the drug of interest, with previous doses weighted according to their recency.

The categorization of cut-off of SASDAS versus those of the ASDAS-CRP index have basically confirmed the agreement of the previous one (weighted Kappa 0.661 with standard error of 0.039) (Table  2).

IRI uses the 3-hourly a p index for the description of magnetic storm effects, and the storm model option is driven by a new index based on the integral of the a p index over the previous 33 h, weighted by a filter obtained by the method of singular value decomposition.

There was also a trend toward higher rates of poor control in relation to higher levels of secure messaging in the previous year (weighted observations: P = 0.006; imputed datasets: P = 0.205).

Pay particular attention to previous auto loans (often weighted more heavily in the customized credit score used by auto lenders).

The previous mentioned indices are subsequently weighted.

A further approach for regularizing single-tensor tractography uses a moving least squares estimate which is weighted with the previous tensor [32].

We then couple the DRPCCD5 scheme with the previous fifth-order compact-reconstruction weighted essentially non-oscillatory (CRWENO5) scheme using a hybrid strategy based on the monotonicity maintenance criteria.

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