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To quantify this effect we determine the expected number of points in a season P est) as well as the expected goal difference ΔG est) for all CD teams with the procedure, introduced in the method section.
The intensity λ represents the expected number of points per unit volume.
An estimation of the K function is given by the mean number of points within a sphere of increasing radius d centered on each sample point, divided by an estimation of the expected number of points per unit volume.
The K function, also called the reduced second moment function or Ripley's function, is, for a distance d, the expected number of points within a distance d of a typical point of the process divided by the intensity λ.
The probability that no vertex on the hull is labelled with +1 can be estimated as 1−(1− P)| H |, where P is the probability that a point is in class +1 and | H| is the expected number of points on the convex hull.
We quantified the degree of aggregation of the point pattern (i.e. the cells present on a given picture of a cell count chamber) by the univariate pair-correlation function g(d), which gives the expected number of points at distance d (called scale) from an arbitrary point, divided by the intensity λ of the pattern.
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Expected number of point mutations for each individual based on a polymerase error rate of 6.3 × 10-4[ 28], point mutations found in cloned sequences, and probability that observed point mutations exceed the expected based on a Poisson distribution.
Factors that are considered in the model include: area/volume of the relevant regions involved, expected number of data points in these regions, costs to resolve views with overlapping BRs (e.g., costs to compute the query in B∪C, which can be used to solve Q2), and existence of indexes.
where and are the expected energy consumed by the one-hope transmission and reception of a sensor, which is at a distance away from the access point and the expected number of hops that sensor's packet needs to make to reach to the access point.
Expected number of failures.
expected number of crashes.
More suggestions(16)
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