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The ANOSIM was a nonparametric test based on the rank ordering of the values of a distance matrix (e.g., Euclidean distance) among all observations and tested whether there was a statistically significant difference between two or more groups of sampling units or not.
The combination of several sampling units was also reported.
number of sample units to be inspected.
total number of sample units in feature.
Output areas were grouped into sample units of about 300 households, by using their ACORN profiles based on both demographic and purchasing consumer details.
Children were sampled by occurrence of birth within a set of primary sampling units defined by counties or county groups.
Four experimentation units composed the prototype, one per each specific group of samples.
In the second stage, one to three group-classes (secondary sampling unit) were randomly selected according to the amount of adolescents who was in the respective municipality region.
Since the basic requirement in applying DEA is to select a group of similar units, the samples were carefully scrutinised to eliminate errors.
R-scores for samples or groups of samples, or for higher phylogenetic units, were calculated as R = Σ f i R i, where f i and R i are the fractions and R-scores of each genus (i) in these groups, respectively.
Such features include selection of appropriate outcome measures (with a priori hypotheses linking care to the outcomes chosen), specification of appropriate primary sampling unit, specification of unit of analysis, establishment of appropriate comparison groups, and case-mix adjustment.
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