Sentence examples for multiplying the expected from inspiring English sources

In addition, by multiplying the expected recovery rate against the win rate, the authors created their own revised win, which averaged 25% in 2004.

For YLD, the years of healthy life lost is obtained by multiplying the expected duration of the condition by a severity weight for the condition.

Finally, estimated costs for patients with and without diabetes were calculated multiplying the expected probability of spending for health care by the estimated costs for people using health care (results shown only for gamma model).

Indeed, multiplying the expected probability Σ- q of a q-hit by the size (L - q + 1)(d + b) of a parallelogram, we may expect that y = O Σ- q dL) on average, or simply y = O L) for not too small values of q.

Because the mean of n lognormally distributed variates, each with a variance ϒ, is itself approximately lognormal with a variance equal to ϒ/n (Beaulieu et al. 1995; Fenton 1960), we can simulate the effect of unexplained variation among sites with an MI of x by multiplying the expected mutation rate by a random lognormal variate with variance ϒ/n.

The length of the ST phase can be found by multiplying the expected number of successful TR subchannels and the expected duration of a TO, plus the duration of transmitting the SA map of length if one is used (7).

The simulation was repeated for three values of θ i (1.5, 2, and 3) and for different SFs that multiply the expected counts E i for all areas.

Expected gene diversity was calculated based on the unbiased estimator formed by multiplying the sample expected heterozygosity (1 - Σ i p i ) by the factor (2 n)/(2 n - 1); being p i the frequency of the ith allele for each locus and n the number of analyzed samples [ 47].

Finally, we calculated the amount of carbon and CO2 emissions by multiplying the area expected to be lost by the median carbon density of forest (113 Mg/ha) [14].

Finally, we calculated the amount of carbon and CO2 emissions by multiplying the area expected to be lost by the median carbon density of forest (113 Mg/ha) [ 14].

Next, we estimated the population EVPI, which is the total EVPI per patient multiplied by the expected lifetime of the technology (assumed to be 10 years) and multiplied by the annual number of future patients expected to benefit from more research (assumed to be 300 000, i.e. the annual number of patients who undergo cardiac rehabilitation in the U.S). adjusted for the discount rate[53].