depreciate
发表于 2025-3-26 23:14:16
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Biofeedback
发表于 2025-3-27 04:28:12
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建筑师
发表于 2025-3-27 08:00:35
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NAV
发表于 2025-3-27 13:10:16
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艺术
发表于 2025-3-27 16:34:53
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META
发表于 2025-3-27 21:04:11
Regularity and the number of clusters, curves introduced in Chapter 6. It will be shown that members of a parametrized family of two-dimensional distributions from the Bivariate Lilliputian Model (???)which are based on parabolas are ideally regular data tables (Sections 11.2–11.3).
收集
发表于 2025-3-28 00:54:10
Inequality measures for multivariate distributions,variate datasets with . sets of records. These measures are easy to percept for those who are familiar with the concepts of the Lorenz Curve and Gini Index which are so important in the univariate case.
搬运工
发表于 2025-3-28 02:20:20
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旁观者
发表于 2025-3-28 09:32:42
Univariate Lilliputian Model II,s, data were ordered according to increasing earnings. For earnings aggregated to four macrocategories, the concentration curve .(. : .) relating male earnings . to female earnings . happened to be convex. This indicated a clear monotone trend: the higher the earnings macrocategory, the stronger the
蛛丝
发表于 2025-3-28 10:45:12
Asymmetry and the inverse concentration set,ack sufficient precision. It is due to the fact that there are many curves which have the same index value. Problems related to how greatly such curves may differ are discussed in Sec. 5.2. In particular, the boundaries of the smallest region containing all maximal concentration curves with a common