Sentence examples for most likely distribution from inspiring English sources

No doubt he was considering the possibility of playing in spades, so his most likely distribution was 3-4-1-5 3-4-1-5 3-4-1-5 3-4-1-5

This model employs a presumed probability density function (PDF), in which the marginal PDF of a reactive scalar is modeled by a statistically most likely distribution.

Rock permeability and porosity are some of the most important features to be determined during the exploitation of a certain hydrocarbon reservoir, as these physical properties help petrophysicists understand the most likely distribution and/or presence of oil/gas reservoirs, as well as decide whether that certain field might be exploitable or not.

Here, the models for the presumed PDFs for conserved and reactive scalars are re-examined and a statistically most likely distribution (SMLD) is employed and tested in a priori studies using direct numerical simulation (DNS) data and experimental results from the Sandia flame series.

We also check which is the most likely distribution generating that degree distribution power-law or log-normal (a right-skewedistribution power-lawmore narrow tail than a power-law that is visually similar to the Earth reaction graph of Figure. 1B).

In this case the multiple samples provide a prior likelihood that the site is a variant, and the caller determines the most likely distribution of alleles given the data.

The statistically-most-likely distribution is generally less accurate than the appropriate bivariate beta distribution but still gives reasonable predictions and does not require knowledge of the mixing configuration, so it is a suitable model when no single mixing configuration can be identified.

Even for mixing with only two independent scalars, several statistical distributions, including the Dirichlet, Connor Mosimann (CM), five-parameter bivariate beta (BVB5), and statistically-most-likely distributions, have previously been proposed for this purpose, with minimal physical justification.

The algorithm can be used for both Bayesian maximum a-posteriori (MAP) estimation of the most likely spatial distribution of clusters and Bayesian model averaging over a large space of spatial cluster distributions to compute the posterior probability of an unusual spatial clustering.

Yoshioka says WHILL will most likely pursue distribution partnerships with U.S. airlines, which are responsible for supplying and maintaining the wheelchair systems in American airports, and airports to build the necessary infrastructure.

For example, 86Y and 124I can be used as a surrogate of 90Y and 131I, β− emitters commonly adopted in radiotherapy, in order to accurately estimate the most likely dose distribution before radiotherapy [9].