Sentence examples for a variability of more from inspiring English sources

The phrase "a variability of more" is not correct in standard written English.
It may be intended to express a degree of variability that exceeds a certain amount, but it lacks clarity and proper structure.
Example: "The study showed a variability of more than 20% in the results."
Alternatives: "a variation of more" or "a range of more".

Exact(2)

Note that the first three singular vectors in the parameter space collectively achieved a variability of more than 99.9 % (Table 4).

Based on AMOVA results, a variability of more than 5% was observed within populations.

Similar(57)

In fact, a variability of CPO/CPF of more than 1 order in magnitude was observed (Fig. 5).

An increase in variability of more than 100% revealed a significant threshold behavior with a negative Grewia flava population trend.

The condensational cloud at equatorial latitudes exhibits variability at the roughly 10% level, while at higher latitudes can exhibit variability of more than 20%.

Mr. Burckhardt might take a hint from his own works on paper (not included here), which have an inventive variability of technique more in keeping with his zany, pluralistic vision.

Nevertheless, the reconstructions are often subject to variabilities of more than one order of magnitude (Sayer 2001), and this can obscure precise reconstruction of reference conditions.

The main difference with previous indicators is the high level of between-person variability, which is always more than intrapersonal variability (with a share of more than 70%%).

In this borehole, falling head slug tests above the cave revealed a permeability varying over three orders of magnitude from 2 ×10−8 to 5 ×10−6 m/s, due to intense variability of the more or less porous limestone (Fig. 2).

On the other hand, DVCs on the 27K chip (Fig. 3B) and DVCs in different genomic regions (Table S3 ) showed a consistent pattern of more variability in obese cases.

The protein variance of the linearized model is given by: var ⁡ (P ) = P ^ n (1 + k p − γ m 2 (γ m + γ p ) ) Although the Poisson-like nature of the noise makes the fano coefficient a natural description of variability, a more standard measure is the dimensionless coefficient of variation equal to standard deviation divided by mean.

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