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Discover LudwigThe phrase "approximation to distribution" is correct and usable in written English.
It can be used in contexts related to statistics, mathematics, or data analysis when discussing how closely a certain approximation resembles a specific distribution.
Example: "The approximation to distribution allows us to simplify complex data sets for easier analysis."
Alternatives: "approximation of distribution" or "estimate of distribution".
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In what follows, we will derive saddlepoint approximations to distributions of the three test statistics.
Normal approximations to distributions are often used to estimate sample sizes for discrete data, even when the data are to be analysed by generalized linear models.
For the details, Cheng [11] established a Berry-Esseen type theorem showing the near-optimal quality of the normal distribution approximation to the distribution of smooth quantile density estimators.
While the lognormal distribution is a reasonable approximation to the distribution of cumulative HTML views at a certain instant, we ask whether this case is true for any time point.
The exact distribution of heteroplasmy can be written as a sum over hypergeometric functions; however, for computational efficiency and interpretability, we employ an approximation to this distribution involving the truncated Normal distribution and fixation probabilities.
Bootstrapping is used as the chi-squared distribution may not provide a good approximation to the distribution of the statistic, and hence provides more valid estimates.
Herein, we consider an approximation to the distribution of (S_n).
"A Saddlepoint approximation to the distribution of sum of i.n.i.d.n.i.d
Further, it is shown that using the first three statistical moments, a good approximation to the distribution can be obtained.
There was no guarantee of the existence of a normal approximation to the distribution of the speedup.
To be conservative, we used χ12 as an approximation to the distribution of the test statistic under the null [29].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com