Sentence examples for fitting a distribution of from inspiring English sources

In simplest terms it could be articulated with fitting a distribution of the yield based on the observed (recorded) yields, probabilistic yield sampling from the distribution, and determination of the reduction of the yield (burn) to derive the risk metrics.

REL involves fitting a distribution of substitution rates across sites and then inferring the rate for individual sites [ 67].

We employed two different random-effects methods, which fit a distribution of substitution rates across sites and then infer the rate at which each site evolves [73].

The REL model first fits a distribution of rates across sites and then infers the substitution rate for individual sites.

FEL estimates the ratio of dN/dS on a site-by-site basis, without assuming an a priori distribution across sites while REL fits a distribution of rates across sites and then infers the substitution rate for individual sites.

This is not the same as the probably more intuitive and conventional distribution fitting methods in which one fits a distribution to the histogram of effect sizes (i.e. y-axis is the density, x-axis is the effect size).

To illustrate this, we used the annual ignition data from 1990 to 2015 of Yunnan Province to fit a distribution and randomly generated the number of annual ignitions for 1000 years.

We develop ways of visualizing the level of statistical significance of fractionation in all AU containing a given number s of single-copy genes, both for all s simultaneously, and separately for each s as a way of fitting a geometric distribution of deletion lengths.

(2) If the shape parameter is unknown and the fitting is expected to be good for some shape parameter value p, a method for estimating p was given by fitting a General Gaussian distribution of shape p to the data, and then use this estimated shape parameter p to the Chi-p distribution to characterize the goodness of fitting.

However, there is some uncertainty in the interpretation of the CTR spectra, because it was fit to a distribution of hypothesized structural models.

This part corresponding to the reference population could be better represented by fitting a gamma distribution instead of an exponential distribution since the sum of exponentials follows this distribution.