Sentence examples for estimate using a large from inspiring English sources

This is lower than a previous estimate using a large set of Z-chromosome linked loci [0.36; [ 24], as expected given the lower effective population size [ 7, 59], and reduced introgression on the Z-chromosome compared to the autosomes [ 53].

Both models were estimated using a large dataset that consists of 60 work zones in New Jersey.

The model, estimated using a large set of macroeconomic variables, is able to predict 76% of entries into crisis while sending 36% of false alarms and has rather good out-of-sample performance.

As mentioned previously under Distance Cutoffs, the log-likelihood ratios are estimated using a large, sequentially diverse set of proteins.

The probabilities and significance of the correlated evolutionary patterns among amino-acid sites were estimated using a large number (10,000) of random samplings and a small α value (0.001) to minimize a false-positive rate (type I error).

In addition to these scenarios, we explored the robustness of our time estimates using a large data set that includes the most recent gorilla and chimpanzee malaria sequences (mtDNA-3.4 kb, [ 7]) using a conservative and an inclusive scenario (6-8 Myandnd 6-14.3 6-14.3

The use of genomic breeding values (GEBVs), estimated using a large number of genetic markers across the genome, is expected to overcome a number of those limitations (Meuwissen et al. 2001; Dekkers et al. 2010) and allow for the selection of animals at a young age, thereby shortening generation intervals (Hayes et al. 2009a; Vanraden et al. 2009; Wiggans et al. 2011).

Weights were simulated from two truncated log-normal distributions with sex-specific medians and variances (ln N 85.1, 0.0329) for males and ln N 73.0, 0.0442) for females) (Fig.  2) which had been estimated using a large data set with 1,022 males and 423 females [ 11].

Although our estimates use a large number of assumptions, we consider that a nearly threefold increase in the probability of finding online CBT by the addition of a Google Advert is likely to lead to more people with depression registering and using online CBT.

To quantitatively assess this tradeoff, I develop a simple model and estimate it using a large transaction-level dataset from a major payment card company, focusing on restaurant purchases.

Furthermore, in situations where the posterior probabilities of individual partitions are too small (relative to Monte Carlo error) to be estimated reliably, the posterior co-assignment probabilities of many subsets of the label set can be estimated accurately, using a large sample of observations from the posterior distribution.