Titlebook: Metrics That Make a Difference; How to Analyze Chang Robert Gilmore Pontius Jr Book 2022 Springer Nature Switzerland AG 2022 GIS.Remote Sen

國家明智

Robert Gilmore Pontius Jre Aneignung und Wiederholung des für den Prüfungserfolg relevanten Stoffes. Zu diesem Zweck beinhaltet es aus den gro?en Bereichen des Bürgerlichen Rechts einschlie?lich des Kreditsicherungsrechts, sowie aus dem Handels- und Gesellschaftsrecht und dem Verfahrens- und Insolvenzrecht diejenigen Themen

機(jī)制

Robert Gilmore Pontius Jre Aneignung und Wiederholung des für den Prüfungserfolg relevanten Stoffes. Zu diesem Zweck beinhaltet es aus den gro?en Bereichen des Bürgerlichen Rechts einschlie?lich des Kreditsicherungsrechts, sowie aus dem Handels- und Gesellschaftsrecht und dem Verfahrens- und Insolvenzrecht diejenigen Themen

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Lament

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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 intensities

agenda

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 t

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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 di

AMBI

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