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For a discrete random variable, x, the probability distribution is defined by a probability mass function, denoted by f(x).
Compute a probability mass function from.
= 1, then p ( t ) is a probability mass function.
Such models predict a probability mass function for the microbial load at a certain time instant.
The workload process may also have a probability mass (atom) at zero denoted by V 0).
A probability mass function for the nonlinear load exceedances was developed based on the Markov process.
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At every 5 cM, a 1-degree-of-freedom (df) logarithm of odds (LOD) score was computed, which is distributed as a 50 50 mixture of a point probability mass at 0 and a χ1, being equivalent to the original parametric LOD score proposed by Morton (1955).
Based on these considerations, we characterized the gene-level intron Alu density distribution with a mixture model that consists of a Bernoulli probability mass function and a Gamma probability density function.
The actual true prevalence Tp0[ i] for a farm is effectively described as a zero inflated distribution with a point probability mass at zero.
It consists of a Bernoulli probability mass function and a Gamma probability density function [ 34].
The 'BayesB' method assumed a mixture of distributions of an inverted chi-square with a discrete probability mass at zero as the relevant prior distribution of marker effects, to model an increase in the number of markers with an effect of zero.
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