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The structural cut-off is a concept in network science which imposes a degree cut-off in the degree distribution of a finite size network due to structural limitations (such as the simple graph property). Networks with vertices with degree higher than the structural cut-off will display structural disassortativity.
The student only needs to reach one qualification cutoff to take the USAMO or USAJMO. During the 1990s, fewer than 2,000 students typically qualified for the AIME. However, in 1994, an unprecedented 99 students achieved perfect scores on the AHSME, causing delays in result distribution. The usual pamphlets were replaced by thick newspaper bundles.
Only golfers who make the cut for an event will receive points for that event. Beginning in 2015, playoff tournaments carry four times the points of regular season tournaments, instead of five times, as was the case from 2009 to 2014.
In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest–posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned.
Many, or perhaps most, law schools in the United States grade on a norm-referenced grading curve.The process generally works within each class, where the instructor grades each exam, and then ranks the exams against each other, adding to and subtracting from the initial grades so that the overall grade distribution matches the school's specified curve (usually a bell curve).
The t distribution is often used as an alternative to the normal distribution as a model for data, which often has heavier tails than the normal distribution allows for; see e.g. Lange et al. [14] The classical approach was to identify outliers (e.g., using Grubbs's test) and exclude or downweight them in some way.
A tolerance interval (TI) is a statistical interval within which, with some confidence level, a specified sampled proportion of a population falls. "More specifically, a 100×p%/100×(1−α) tolerance interval provides limits within which at least a certain proportion (p) of the population falls with a given level of confidence (1−α)."
In statistics, Cook's distance or Cook's D is a commonly used estimate of the influence of a data point when performing a least-squares regression analysis. [1] In a practical ordinary least squares analysis, Cook's distance can be used in several ways: to indicate influential data points that are particularly worth checking for validity; or to indicate regions of the design space where it ...