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In statistics, statistical depth functions have become increasingly pursued as a useful tool in nonparametric inference for multivariate data.
Statistical depth functions are being used increasingly in nonparametric multivariate data analysis.
The present paper advocates the use of multivariate identification and ranking of hotspots based on statistical depth functions, which are useful tools for non-parametric multivariate analysis as they provide center-out ordering of multivariate data.
Our developed tools confirmed these features in each of the images through statistical depth analysis, which led us to believe that the system is well suited to detect possible indications of 3D quality of experience through objective analysis of still images.
Statistical depth functions assign a point its degree of centrality with respect to a dataset.
There are several statistical depth functions to measure the degree of centrality of a point.
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After wading into the statistical depths earlier in the book, readers can start using these tangible, easily applicable lessons immediately.
There was no statistical relationship between depth of last foot stroke and dive order, independently of maximum dive depth (no interaction between dive order and maximum dive depth: F1,130 = 0.34, p = 0.558).
There was also no statistical relationship between depth of last foot stroke and body mass, independently of maximum dive depth (no interaction between body mass and maximum dive depth: F1,130 = 0.32, p = 0.574).
To confirm the statistical significance of depth zones that were delineated a posteriori (e.g. the upper- and lower- mesophotic and rariphotic zones, which combined clusters from the SIMPROF analysis), we used PERMANOVA73.
In order of decreasing strength of statistical relationship, soil depth, land use and season were all related to some aspects of soil macrofauna density, biomass and community composition.
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