The phrase "are well approximated" is correct and usable in written English.
It can be used when discussing how closely a certain value or model represents or estimates another value or phenomenon.
Example: "In this study, the results indicate that the observed data are well approximated by the theoretical model."
Alternatives: "are closely estimated" or "are accurately represented".
It is pointed out that the mass transfer coefficients for two complicated geometries (well source in a plane; disc source over a plane) are well approximated by their standard lumped circuit approximations, although in the disc case this seems not to have been recognized.
Vibrating devices such as acoustical transducers are well approximated by cascade of Hammerstein models.
Moreover, the nonlinear functions of the underlying system are well approximated by exploiting neural networks-based framework.
Simulations demonstrate that the method produces estimators of the rate with low bias and whose standardized distributions are well approximated by the normal.
In this paper we analyse distance distributions between nodes in axial graphs, and show that these distributions are well approximated by rescaled-Poisson distributions.
As discussed in Chapter 6, typical vibrating strings in musical acoustics are well approximated as linear, time-invariant systems, there are special cases in which nonlinear behavior is desired.
Our proposed methods are confined to comparisons that are well-approximated by an estimate based on an independent path decomposition.
The EIFS values computed from published experimental results of 3-D cracked fastener holes are well-approximated by a Weibull distribution.
We introduce a class of singular varieties called rational singularities that are important because they are well-approximated by their resolutions, and explain how one can use "reduction modulo p" to characterize them.
This mainstream probabilistic conceptualization (i.e. model) of motor vehicle crash causation assumes that crashes are well-approximated by a single source of risk, wherein several contributing factors exert their collective, non-independent influences on the occurrence of crashes via a linear predictor.
As these distributions are well-approximated by normal distributions, IGpe can be estimated directly from the means and standard deviations of both distributions at each depth.
