The phrase "a distribution that has" is correct and usable in written English.
It can be used when describing a specific type of distribution in statistics or probability that possesses certain characteristics or properties.
Example: "We are analyzing a distribution that has a mean of 50 and a standard deviation of 10."
Alternatives: "a distribution possessing" or "a distribution exhibiting".
It is not clear whether windows that did have significantly negative values of D are experiencing stronger purifying selection than other regions or are simply the extremes of a distribution that has been shifted into predominantly negative values.
Results showed that the distribution was not different from normal that is, the 33 P values were compatible with a distribution that has arisen by chance (results not shown).
True positive peak belongs to the matched pair, and is predicted in a distribution that has the monoisotopic peaks appropriately matched True negative peak is not in a match and is not found in a matched isotopic distribution.
Both the 19mers and the piRNAs were found to map in similar numbers to the sense and the antisense strands of the IAP repeats, a distribution that has been shown previously for the piRNAs and that may be explained by widespread sense and antisense transcription of these elements [ 11, 26].
As certainty increases (| L| > 0), a simultaneous increase in leak rate and bias drives the decision variable to a stabilizing boundary with a probability distribution that has a heavy tail, reflecting dynamics that facilitate the detection of subsequent changes.
Each solution branch is smeared out compared to the homogeneous limit, indicating a probability distribution that has a finite and non-zero width.
To describe the failure and repair process of the production systems we consider a failure distribution that has a constant failure and repair rate representing the exponential probability distribution.
Within a LRT test, twice the log-likelihood difference between two nested models should have a χ distribution that has a number of degrees of freedom equal to the differences of free parameters in two models.
So a normal distribution, that has mean zero because it's absolutely centered at the origin and it has variance one, but I could change the variance and that would just spread out or tighten the bell-shaped curve.
Therefore we modeled the observed heterogeneity P(F) as a gamma distribution that has the same relationship between the ratio σ/μ and the average activation level as we observed in our experiments.
Strategy 2 employs two joint and 16 minimum-bound calibrations modelled using a truncated Cauchy distribution that has a long tail [ 17].
