The phrase "a coefficient that is" is correct and usable in written English.
It can be used in mathematical or scientific contexts when discussing the properties or characteristics of a coefficient.
Example: "In this equation, a coefficient that is greater than one indicates a strong positive correlation between the variables."
Alternatives: "a coefficient which is" or "a coefficient that represents".
"They have placed an improved bound on a coefficient that is particularly difficult to measure," Kostelecky says.
Each term in both the series is an exact solution to the governing equations of motion and has a coefficient that is used to satisfy boundary conditions.
In this equation, λ0 > 0 is the basic failure rate, a coefficient that is based on the Weibull distribution, and application intensity δi is based on customer usage rates in subgroup i.
As seen when partitioning by AOC status, the oak barrel indicator variable is the only variable with a coefficient that is significant across all groupings, yielding a positive effect on price.
However, we find that relative employment of second generation immigrants does not significantly impact on innovation at all, or with a coefficient that is much less than for first generation immigrants (see columns (7) and (9)).
(4) The true source strength can be recovered by dividing the reconstructed one by a coefficient that is the square of the focus distance divided by the real distance from the source to the array center.
Therefore, the overall positive/negative sentiment should be represented as a product of the average sentiment and a coefficient that's value depends on the number of positive/negative words.
where ∇ is a gradient and c is a diffusion coefficient that is a non-negative function of the magnitude of the gradient of four Laplacian neighbors, i = {1, 2,…, 4}.
A characteristic path length that is similar to a random network and a clustering coefficient that is high relative to a random network indicate that a network has small-world characteristics (Watts and Strogatz 1998).
Depth-dependent retention was described using a rate coefficient that is a power-law function of distance.
At ((1,1,1)), it is easy to see that the characteristic polynomial has a constant coefficient that is (rho 1-rho)(b^{2}-a)/tau), which means that it is negative since (a>b^{2}).
