The phrase "approximation of the standard" is correct and usable in written English.
It can be used when discussing a value, measurement, or concept that is close to a defined standard but not exact.
Example: "The approximation of the standard measurement was sufficient for our analysis, even though it wasn't perfectly accurate."
Alternatives: "estimate of the standard" or "nearby value of the standard".
Many papers are dedicated to the approximation of the standard 9/7 filter coefficients by rational values for low-complexity hardware or software implementations [20 22].
end{aligned}However, the s-perimeter provides an approximation of the standard euclidean perimeter since it can be shown that for any bounded set of finite perimeter E begin{aligned} lim _{s uparrow 1} 1-s),P_s(E)=omega _{n-1} 1-s).
Finally note that the definition of coverage computed by the FRC is only an approximation of the standard one because the contigs are not aligned to the genome, however it has the property of identifying assemblies where the genome length has been over estimated.
Confidence intervals were calculated using a Poisson approximation of the standard error.
We show in simulations that it would be possible to estimate the variance from pairwise interactions with samples of a few thousand from strongly bottlenecked human founder populations, and we provide an analytical approximation of the standard error.
Approximation of the standard deviation across array, provided by the characteristic function derived from the consecutive sampling, was compared to the standard deviation function, derived from the individual genes: the difference for the coefficients a and b in two independent tests was in the range -3% to -12% and -8% to -14%, respectively.
The study of real dynamic of investigated characteristics and the degree of its approximation to the standard is a source of information about the level of regional management as well as about the directions of management actions in order to enhance sustainable regional development.
Figure 1 shows the approximation to the standard error of an estimate of heritability as a function of the population value, experimental sample size, and design.
The standard deviation of the resulting bootstrap distribution is an approximation for the standard error of N −.
A new set of approximations to the standard TEOS-10 equation of state are presented.
The 95% confidence intervals around all the prevalence estimates were constructed using the normal large-sample approximation for the standard error of a single proportion.
