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Vector data models partition the space according to the form of spatial features, such as points, lines, polygons, and their derivatives.
The two SVM models partition the space around both hyperplanes into bins, and the distribution of the training examples in individual bins is computed.
These models partition the time-related variation in obesity to the three distinct sources but cannot identify the specific environmental channel within the source.33 A key feature of the analysis is statistically testing for a structural break of unknown timing across cohorts and checking the robustness of their finding by additionally controlling for family fixed effects.
Both median spline and median bands models partition the data and fit separate piecewise regressions to each section, smoothing them together where they join, while lowess models essentially fit local polynomial regressions and join them together.
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Fixed-site models partitioned the data based on a priori knowledge of apyrase function.
These best-fit models partitioned the AA matrix by gene (78 partitions) and the nucleotide (ntAll, ntNo3rd) and RY matrices by codon position and gene (234 partitions).
Given a numeric vector, the statistical method of finite mixture models partitions the vector into components, each of which is modeled by a different density distribution.
The model partitions the pore space into "mobile" and "immobile" flow regions with first-order mass transfer between these two regions (i.e, "physical" nonequilibrium or PNE).
The M3 discrete) model partitions the sites among three site categories, based on a discrete distribution.
The SIPOKS process model partitions the overall systems flow into Suppliers, Input, Process, Output, and Key Stakeholders for convenient analysis.
An unconditional means model partitioned the total variance of A1C across people and waves into two pieces: the between-person and the within-person variance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com