Sentence examples for distribution belonged from inspiring English sources

All species with exclusively or mainly Pyrenean or Western Alpine distribution belonged to the 'Western' clade, some of them may be remnants of previously much larger populations.

Notably, the three most significant pathways with respect to the original distribution belonged to the 20 pathways being significant in all three tests such that row- as well as column permutations confirmed the original results.

Two beds of different particle size distribution belonging to group B and group B/D powders were fluidized in air in a 13.8 cm diameter column.

A distribution belongs to exponential family if there exists a theta, a vector that parametrizes the distribution such that the probability density function for this choice of parameter theta can be written as h of x times c of theta times the exponent of sum from i equal 1 to k. Yes.

When the flow size distribution belongs to the Decreasing Hazard Rate class, we propose the so-called Attained Service Potential Improvement index rule, which consists in giving priority to the flows with the highest ratio between the current attained-service-dependent completion probability and the expected potential improvement of this completion probability.

Next, we proceed with three local large deviation limit theorems for n th partial sums of the i.i.d.r.v.'s whose common distribution belongs to the Poisson-Tweedie family.

The maximum point ( left({widehat{p}}_{nu },{widehat{alpha}}_{nu },{widehat{beta}}_{nu}right) ) is uniquely determined because the proposed distribution belongs to the exponential family when v is fixed.

Which immediately implies that the ECOMP (ν, p, α, β) distribution belongs to the exponential family with parameters ( log p, α, β) when v, is a nuisance parameter or when its value is given.

Rezaei Roknabadi et al. (2009) have shown that this family of distribution belongs to IFR (increasing Failure Rate) class if any one of the following is true: i. ( {g}_{theta}^ y)={g}_{theta}left y+1right -{g}_{theta}left y+1right -{geasing function of y.   ii.

When a chosen distribution belongs to location-scale family, we can use an educated guess for location parameter μ.

In other words, the MaxEnt principle in this case is merely a restatement of the fact that the distribution belongs in the exponential family.