Sentence examples for using the probability mass from inspiring English sources

The porosity is calculated using the probability mass function of the subgrid-scale features in each cell and updated in each time step.

We compute the region defined in (1) using the probability mass function of and the auxiliary random variable for all, and deterministic to obtain the region in (9).

Using the average number of elements per window, the probability of finding particular number of elements under a Poisson distribution was determined by using the probability mass function (pmf).

The probability mass function of the Poisson distribution is defined as follows: Using the probability mass function, one can compute the likelihood of an observed alternative allele count having been produced by sequencing errors.

Similar considerations might apply also to the calculation of mutual information, where the expected frequencies derived from the stability profile could be used as the probability mass function of each variable.

Assuming a random distribution of lesions and using the Poisson probability mass function equation [ f [ x!] = e−λλ x /x], where λ = the average lesion frequency for the nondamaged template (i.e., the zero class; x = 0), the average lesion per DNA strand was determined as: λ = − InA D /AO.

In this paper, we will use the following parameterization for the probability mass function of a negative binomial distribution with mean μ and dispersion parameter α. begin{array}rcl@ f y|mu,alpha) &=& frac{Gamma y + alpha)}{y!

This estimator has some problems, however, stemming from the fact that it uses the empirical probability mass function to estimate a mixed Poisson distribution.

The probabilities that there are 1 through n total number of nodes residing in the area b 2 are calculated using Eq. 29 to obtain the probability mass function (PMF).

Efron demonstrated that the Kaplan-Meier estimator can be derived using an algorithm which uniformly redistributes the probability mass associated with each right censored observation to all times to its right.

For this we used information about the direction in which the probability mass is moving that we obtained from experiments with the sliding window method.