Sentence examples for maximum probability density from inspiring English sources

The corresponding maximum probability density value can be calculated from ramp characteristic statistics and is most likely to occur.

With the maximum probability density, we have the rollover at area value: {R}_{mathrm{dp}}^A= exp left[frac{1}{alpha}left( ln left(beta -1right)- ln left alpha +1right)right)+ ln tright] (3).

We therefore do not use t as the "crossover" of p dp(A) as suggested by Stark and Hovius (2001), but use the area with maximum probability density as the "rollover".

In this paper, we propose an adaptive expectation maximization (EM) method based on the scaled t-distribution for B-spline estimation, where automation is achieved for the best approximation with the maximum probability density.

The normalization condition is satisfied within [s, +∞). This function can be approximated by a negative power law (tail) with an exponent of -ρ-1 for large size events and an exponential function for small size events separated by a maximum (rollover). With the maximum probability density, we have the rollover at area value: {R}_{mathrm{ig}}^A=frac{a}{rho +1}+s (5).

Supposed the dataset has N points in total, the clustering algorithm scans every N/Ngrid points in the dataset from the point of maximum probability density (Fig. S3 in Supporting Information).

The mode particle size dσ, at which a global maximum on the probability density function is achieved, was taken from TEM data and kept fixed.

The skewness coefficient also suggests that a better physical representation of the propeller inflow is provided by the mode value of the velocity, which is the maximum of the probability density function, rather than the mean velocity.

The highest incidence of active CMV infections occurred during the second post-transplant month (31 - 60 days) with a percentage of active CMV infection of 76.7% and maximum value of probability density of 0.01 at day 44.4 after HSCT (figure 1).

During the first stage of the IDS, our detection strategy employs the analysis of global and local maxima in the probability density functions of the behaviors to isolate deviance at the granularity of a single node.

The similarity in the spatial extents of the two maxima in the probability density maps suggests that confinement may be surprisingly tight.