The phrase "a more robust distribution" is correct and usable in written English.
It can be used when discussing statistical data, probability distributions, or any context where you want to emphasize strength or reliability in a distribution.
Example: "To improve our analysis, we need to consider a more robust distribution that can better handle outliers."
Alternatives: "a stronger distribution" or "a more resilient distribution."
"By adding more pipeline capacity, it makes for a more robust distribution system, which will give customers more choice in terms of suppliers," Mr. Kiley said.
"By adding more pipeline capacity, it makes for a more robust distribution system, which will give customers more choice in terms of suppliers," he said.
"If we really mean what we say about decentralization, then we have to think fast about a more robust distribution of food to the countryside, cash-to-work programs there, and assistance to agriculture," Ms. Dorsinville said.
Thus, positive skewness (c) is the more robust distribution.
Genome-wide ChIP-chip analysis showed that these cells acquire an altered and a more robust pattern of chromosomal condensin distribution, with increased enrichment of wild-type hotspots and with emergence of new sites, most notably in the subtelomeric regions.
The intrinsic sampling and the subsequent spatial modelling uncertainty of the MIS data and the reliance on RDT results should be addressed to provide a more robust estimate of the current distribution of infection risk in northern Namibia.
By augmenting the MWD and SCBD with differential scanning colorimetry (DSC) analysis to better estimate crystalline lamella distributions, a more robust process was developed to estimate the critical lamella distance, L, that a molecule must span to form a tie molecule.
To construct a more robust representation of each cepstral feature distribution, a feature warping method was proposed [4,33].
The application of a specific algorithm to thickness datasets would put future studies of tephra distribution on a more robust footing.
In contrast to the method reported by Tasdizen [13, 14], our estimation does not require the assumption of a Gaussian distribution and produces a more robust subspace dimensionality regardless of the images being denoised.
As further work is required to define a more robust extent of the Three Kings tephra distribution, we use the resultant L1 eruption scenario only for the purposes of depicting a plausible high pyroclastic volume eruption across central Auckland.
