aread beyond the data. describe the shape of the distribution. identify statistics, such as the mean and median, and relate them to the shap of the distribution 在数据之外读。 描述发行的形状。 辨认统计,例如卑鄙和中间,并且与发行的shap关系他们[translate]...
A difference in distribution shape would have important clinical implications. You can test whether the two samples arise from the same shape of distributions by methods found in Section 14.7. View chapterExplore book Planning Analysis R.H. Riffenburgh, in Statistics in Medicine (Third Edition), ...
In this distribution, the expected edgel direction varies linearly in the shape coordinates. This is found to be a useful model for the microfossil data.doi:10.1080/02664760410001681756Mardia, K. V.Kirkbride, J.Bookstein, F. L.Sheffield PolytechnicJournal of Applied Statistics...
distribution of the stacked layers is obtained by an application of the statistical theory of bundles of filaments after Daniels and others, and 'weakest link' statistics are used to yield the strength distribution of the cylindrical ... DE Gücer,J Gurland - 《Journal of the Mechanics & Phys...
However, relatively little work has been done on producing statistics of diffusion tensors. A main dif- ficulty... PT Fletcher,SC Joshi - DBLP 被引量: 478发表: 2004年 Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis The Gaussian distribution is the basis...
Shape descriptions range in complexity from simple hand-placed landmark points, to parametric meshes (Zhang et al., 2014), to deformation fields (Rueckert et al., 2003). Whatever the description, the variables of the description must be correspondent between shape instances so that statistics on...
Center of a Distribution There are several statistics that can be used to answer what is the center of a distribution. Four measures of center are the mean, median, midrange, and mode. These values can be used together to give an idea of what is typical in the population. Depending on ...
In particular, online and offline social networks are markedly different, with the latter showing richer memory and memory scales. Our theory also elucidates the phenomenon of emergent virtual loops and provides a novel methodology for exploring the dynamically rich structure of complex systems....
Statistics of natural scenes are not uniform—their structure varies dramatically from ground to sky. It remains unknown whether these nonuniformities are reflected in the large-scale organization of the early visual system and what benefits such adaptat
To the best of our knowledge, however, MCD-estimators of shape have not been considered, which may seem surprising in view of (i) the importance of the MCD estimators of (location and) scatter in robust statistics and (ii) the continued research related to the MCD. The goal of this pape...