Sentence examples for distributions defined as from inspiring English sources

In addition, it shows the decidability of the two distributions, defined as (9).

The above theorem can be easily applied for tail-equivalent distributions defined as follows (see [11]).

Based on this approach, this paper presents an original matching model in which the outgoing modes are generated by means of equivalent monopole distributions defined as source terms in the equations governing the acoustic propagation, instead of a conventional inflow boundary condition (BC).

The Cramér-von Mises distance (dCM) measures a Euclidian distance between the empirical and the target cumulative distributions, defined as: d CM ( f | S ~ |, f target ) = 1 12 N + ∑ i = 1 N 2 i − 1 2 N − F target ( X i ) 2 (9).

We first provide an analysis of multisite local field potential (LFP) recordings of brain activity and show that event size distributions defined as negative LFP peaks can be close to power-law distributions.

We observed a robust difference in mass accuracy distributions (defined as the difference between observed precursor mass and expected peptide mass, in units of parts per million (ppm)), with the "true positive" PSMs centered around 0.127 ppm with a standard deviation of 0.637 ppm (following mass recalibration), while "false positive" PSMs were more evenly distributed throughout the mass range.

A bimodal distribution is usually observed when strains have abnormally elevated MICs, with strains distributed above the upper end of the "susceptible" strains distribution defined as "resistant" strains (Laboratory Standards Institute, CLSI guidelines).

Among them, the most commonly used, [1, 14, 15], is the Wigner distribution, defined as follows: (2).

With the state-transition probabilities acquired from (5), the corresponding stationary distribution defined as with can be derived as follows: (6).

The values are the complementary cumulative distribution, defined as the fraction of nodes with degree at least k and denoted as p(K ≥ k).

The density values were then used to formulate an empirical model of the global seawater density distribution defined as a function of the ocean depth to account for density variations due to pressure.