Statistical analysis of spherical data by B. J. J. Embleton, N. I. Fisher, T. Lewis

Statistical analysis of spherical data



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Statistical analysis of spherical data B. J. J. Embleton, N. I. Fisher, T. Lewis ebook
ISBN: 0521456991, 9780521456999
Publisher: CUP
Page: 341
Format: djvu


[情]『Statistical Analysis of Spherical Data 』. Measurements were performed on IOLs with increasingly complex surface geometries: spherical surfaces, surfaces modelled by higher-order Zernike terms, and freeform surfaces from biometrical patient data. Generating spatially correlated random fields is interesting because it makes it possible testing different issues related to the statistical analysis of spatial data. Two independent parameters were measured: the sample's .. The small standard deviation in the ROC acquisition demonstrates the minor amount of statistical errors in the acquisition of the CE and MP positions. A simple litmus test is that if more than 15% of the enrolled cases did not have complete data for analysis or dropped out of the study for other reasons, the study becomes suspect for a selection bias. Variables are defined the model only contains an intercept, i.e. BSDA, Basic Statistics and Data Analysis SpherWave, Spherical Wavelets and SW-based Spatially Adaptive Methods. Exponential, gaussian, spherical, etc). Ade4, Analysis of Ecological Data : Exploratory and Euclidean methods i. Vgm allows defining the (partial) sill, range and nugget paramaters, as well as the variogram model type (e.g. Model defines the variogram model, as defined by a call to vgm . Ade4TkGUI, ade4 and its R interface BRugs.

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