国家明智 发表于 2025-3-25 04:52:32
Robert Gilmore Pontius Jre Aneignung und Wiederholung des für den Prüfungserfolg relevanten Stoffes. Zu diesem Zweck beinhaltet es aus den großen Bereichen des Bürgerlichen Rechts einschließlich des Kreditsicherungsrechts, sowie aus dem Handels- und Gesellschaftsrecht und dem Verfahrens- und Insolvenzrecht diejenigen Themen机制 发表于 2025-3-25 08:29:29
Robert Gilmore Pontius Jre Aneignung und Wiederholung des für den Prüfungserfolg relevanten Stoffes. Zu diesem Zweck beinhaltet es aus den großen Bereichen des Bürgerlichen Rechts einschließlich des Kreditsicherungsrechts, sowie aus dem Handels- und Gesellschaftsrecht und dem Verfahrens- und Insolvenzrecht diejenigen ThemenVAN 发表于 2025-3-25 14:25:52
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Binary Variable Versus Binary Variable,ndation is a square contingency table that has four central entries: Hits, False Alarms, Misses, and Correct Rejections. Metrics express difference as the sum of two components: Quantity and Exchange. Some metrics express size in terms of the number of observations. Other metrics express intensitiesagenda 发表于 2025-3-26 01:30:54
Binary Variable Versus Rank Variable,ce. The method considers several thresholds to convert the rank variable to a binary variable, which reduces each threshold to the analysis of the binary versus binary case of Chap. .. The method presents the results graphically as the Total Operating Characteristic, which is more informative than toutskirts 发表于 2025-3-26 07:52:24
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Application to Categorical Error Assessment with Sampling,from a stratified sample where the strata have various sampling intensities, then it is necessary to convert the sample table to an estimated population table for unbiased assessment. This chapter shows how to perform the conversion, then how to interpret the results when the table’s rows are the diAMBI 发表于 2025-3-26 20:02:00
Multiple Spatial Resolutions for Categorical Variables,ng algorithm converts fine-resolution observations into blocks that have a coarser spatial resolution, which can cause each block to have membership to more than one category. This chapter shows how to construct a square contingency table when a block can have membership to more than one category. T