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Three and four disjoint clusters (nodes) which differ significantly in cavity tree distribution were identified by CART using the two most discriminating stand level indicator variables: age and basal area, respectively.
Of note, more hypointense foci in the posterior dominant distribution were identified on the corresponding PRESTO image (b).
Based on the L-moments heterogeneity and goodness-of-fit measure, Gumbel and generalized extreme value (GEV) distribution were identified as robust distributions for the study area.
The extreme points of this distribution were identified calculating the pixel purity index (PPI) for all pixels and selecting the 10,000 most extreme ones.
The main factors that control their formation and distribution were identified, enabling the prediction of new favorable areas for oil and gas exploration.
CsU patient subgroups with a normal distribution were identified by the method of mixed distribution [28] and characterized by the calculation of theoretical ROC curves.
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In 2D the number of sides distribution is identified as being close to Γ 3.5; 21).
From the synthetic frequency domain data of these identified discrete time models, fractional order (FO) models with sampled continuous order distribution are identified for the nuclear reactor.
Moreover, the best-fit infiltration model parameters (S and A), and all the scaling factors were subjected to frequency analysis and a best-fit statistical distribution was identified.
A dependence of mechanical properties on cavity size distribution is identified, where a more hierarchically developed porous structure results in significantly better mechanical properties.
BSD is measured in real-time using an image analysis method and a dynamic non-linear model (Wiener) for BSD, based on a log-normal distribution, is identified.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com