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The data distribution was defined by medians ± quartiles.
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This global distribution was defined by data-mining of an international spoligotyping database, SpolDB3.
Extensive testing was carried out using random generated instances, in which a peak demand distribution was defined based on real-world data from public transportation systems in Brazil.
The joint posterior distribution was defined as the product of the prior probabilities and the complete data likelihood (cf. [ 6]).
The normal distribution was defined by Shapiro-Wilk test.
A lobar distribution was defined as a single abnormal lobe.
Geographic distribution was defined in terms of regional, district, subdistrict, and community distribution of cases.
The posterior distribution is defined as (5).
The distribution is defined by (1.7).
The resulting slopes distribution is defined as.
The posterior distribution is defined by applying Bayes theorem.
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