Sentence examples for estimates which rely from inspiring English sources

These estimates, which rely on data from specific sites, could be the result of unusual performance, and may not reflect overall performance of the area at harvest.

These assumptions, along with the common publication of estimates which rely on Method 3, are the reason published hedge fund industry AUM figures are so far apart.

The report used historical data and statistical modeling to arrive at the estimate of jobs saved or created, but Christina D. Romer, chairwoman of the Council of Economic Advisers, acknowledged that there was some uncertainty over the job estimates, which rely on reporting from recipients of federal aid.

Earlier estimates, which relied almost exclusively on news reports, were as low as 1 in 300,000.

Past estimates, which relied on comparing characteristic patterns in short snippets of mitochondrial DNA, suggest that the migration occurred 20,000 to 30,000 years ago.

The document also provided a middle estimate, known as the engineering estimate, which relied heavily on past experience -- in particular, the many problems with the space station's life-support systems.

Finally, we test the robustness of our findings by estimating (i) models which rely on an alternative measure of job loss that is both involuntary and unexpected and (ii) placebo regressions.

Genotype calling uncertainty may be accounted for by applying cut-offs on proportion of reads (e.g., calling individuals homozygous for a SNP if >80% of their reads is of a particular allele) or probabilistic methods (returning posterior probabilities of genotypes), which rely on some estimates of error rate and population allele frequency at SNPs (Nielsen et al. 2011).

Studies which rely on allele frequency estimates of groups such as diversity studies are likely to benefit from lower sequencing depths and more individuals.

The problem is even worse in packet-based systems, which rely on training data to estimate the channel before estimating the signal.

Geostatistical techniques generate estimates in terms of spatial and temporal interpolation schemes, which rely on linearity and normality assumptions and tend to generate rather smooth PM10 estimates.