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Transport equations for the parameters of the distribution function describing the mixture composition are derived and solved numerically.
Resampling techniques provide methods to infer sampling distribution properties without assuming a distribution function or knowing analytical expressions for the parameters of the distribution.
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This involves postulating a Weibull distribution for time to recurrence and estimating the parameters of the distribution from the data.
In LDA, for example, the parameters of the mixture are drawn from a Dirichlet distribution, independently for each document.
Table 1 provides the parameters of the beta (a,b) distribution for each parameter estimated by the model.
For one: the parameters of the trials.
For simplicity of presentation, the parameters in the distribution of g and e are omitted.
The baySeq assumes that subsets of the libraries share the parameters of Negative Binomial distribution and derives an empirical prior distribution for the corresponding parameter sets.
The optimal models for the 4 parameters of SBP and DBP distribution for boys and girls were fitted.
The parameters specifying the distribution of death counts were assigned by quasi-Poisson distributions to account for overdispersion.
The parameters of those lognormal distributions were found for each cancer site.
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