Sentence examples for more appropriate distribution from inspiring English sources

"Qatar believes that an exchange ratio of 3.25 new Glencore shares for every one existing Xstrata share would provide a more appropriate distribution of benefits of the merger whilst properly recognizing the intrinsic stand-alone value of Xstrata," Qatar Holding, which holds about 10 percent of Xstrata, said in a statement.

This makes the KGD a more appropriate distribution over the EEGD.

A more appropriate distribution would be based not only on the volume of patients, but also on the morbidity profiles of these populations.

We then approximated these six exposure response relations and their confidence intervals to the more appropriate statistical distribution of the risk coefficients (BEIR 1999; Darby et al. 2005; Lubin 2003; Tirmarche et al. 2003).

Our interpretation is that restricting the reference set via k hap actually imposes a more appropriate prior distribution on the haplotype copying probabilities when there is significant population structure in the panel.

The use of IPD for a time to event outcome is particularly useful in guiding HTA decision making by allowing flexibility in the specification of more appropriate survival distributions and in dealing with potential existing study heterogeneity [ 42].

The label began sending the copies out as promotional recordings, prompting Diplo to ask for the remaining copies to be returned so that he could distribute them at shows and in clubs, which he felt was a more appropriate method of distribution for the mixtape.

The conclusion is that the hypergeometric distribution, ubiquitously available in commonly used software, is more appropriate than other distributions for acceptance sampling.

Two continuous distribution examples show that the two methods are consistent in measuring normal distribution, and information entropy is more appropriate to describe bimodal distribution than variance.

The S-estimator is an alternative for the well-known robust estimate of variance MAD, which does not require a location estimate and hence is more appropriate for asymmetric distributions, frequently encountered in transient regions of the image.

While the statistics are used in a "within-subject" kind of way with the z-statistic, I have a couple of concerns: The sample standard deviation is estimated from only 10 trials  - therefore the use of a t-distribution may be more appropriate than a z-distribution.