The phrase "a degree of approximation" is correct and usable in written English.
It can be used when discussing the closeness of a measurement or estimate to a true value, indicating that it is not exact but rather an estimate.
Example: "The results of the experiment provided a degree of approximation to the actual temperature of the substance."
Alternatives: "a level of estimation" or "a measure of closeness".
This sampling scheme was derived by limit considerations and it works with a degree of approximation for finite samples.
The modified Bernstein operators (5.1) preserve (e_{0}) and (e_{2}) and present a degree of approximation at least as good.
This can be done with a degree of approximation that depends only on the accuracy with which the time-varying flow geometry and surface-acoustic boundary conditions can be specified, and replaces Fant's original 'lumped element' heuristic approach.
The program was run in the 'large' mode which reports motifs of lengths 6, 8, 10 and 12 nt, and, as a degree of approximation, allows 1, 2, 3 and 4 mutations, respectively, to occur in the instances of the motifs.
Wolfram (1985) claims that any physical system can be simulated (to any degree of approximation) by a universal Turing machine, and that complexity bounds on Turing machine simulations have physical significance.
Many multivariable (systems with many inputs/outputs) industrial processes can, to a good degree of approximation, be modelled by a transfer function matrix, where all of the interaction occurs in a matrix of constant coefficients.
Making suitable assumptions and choosing a desired degree of approximation do not naturally generate a "good" model.
This requisite holds exactly in idealized indefinite systems and to a high degree of approximation, in the sense of Saint-Venant's principle, in finite but slender systems.
By this construction, the Korovkin set is generalized from ({ 1,e_{1},e_{2} } ) to ({ 1, tau,tau^{2} } ) and it was shown that the (B_{n}^{tau }) present a better degree of approximation depending on τ.
If we can describe the data generation process by a parametric model, the sampling distribution can often be derived analytically, at least to a good degree of approximation.
