Sentence examples for most likely estimated from inspiring English sources

A comparison between these 2 estimates for each patient is shown in Figure  4, where it can be observed that in 176 cases (65%) the HPD interval for the Bayesian estimate of infection included the most likely estimated date given by the prosecution to the court, based on documents and testimonies from several sources, but in some cases alternative dates were possible (Additional file 5: Figure S1).

Mixed-model estimation was considered the most likely estimates in this study.

They concluded that humans and Neanderthals, our closest relatives, split into two species around the time fire was harnessed - between 465,000 and 569,000 years ago, with the most likely estimate being 516,000 years ago.

They then modelled the financial losses from elephant declines, and came to the most likely estimate of $25m a year from a range of $10-50m10-50m Naidoo said he was "very confident of".

Investigators concluded that fraudulent or improper payments probably ranged from $400 million to $1.4 billion, leading them to settle on $1 billion as their most likely estimate, representing about 16percentt of the distributed aid.

They then select the most likely estimate (that has the least error) from the above list.

Accordingly, the data symbol can be decoded as the one mapped to the most likely estimate of basis function with the maximal correlation coefficient, (4).

The government estimates "the volume of recoverable oil belonging to the nation could vary from 3.7 billion to 15 billion barrels, with the most likely estimate being 7.9 billion barrels".

"The volume of recoverable oil belonging to the nation could vary from 3.7 billion to 15 billion barrels, with the most likely estimate being 7.9 billion barrels," the national petroleum agency (ANP) said in a statement.

The list sphere detector (LSD) [14, 15] is an efficient method to conduct an exhaustive search among a set of candidates (i.e., ML detection) producing not only the most likely estimate but also a list with the closest candidates, which can then be used to form likelihood ratios (LLRs) for each bit (i.e., soft information).

Final most likely estimates (MLEs) were calculated using parameter estimates from two replicated analyses.