stopping rule


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stopping rule

[′stäp·iŋ ‚rül]
(statistics)
A rule which specifies when observation is to be discontinued in sequential trials.
References in periodicals archive ?
Typically, the number or frequency of serious adverse events or unexpected deaths is used as a stopping rule.
sample-size re-estimation); stopping rule defines when to stop the trial (e.
If increasing the incumbent number of clusters by one results in a small change in the pseudo-F statistic, the incumbent solution is the number of clusters used for the change in variation stopping rule.
2% Predictions Stopping Rule Used Maximum number of epochs(100) exceeded Training Time 00:00:00.
We note that any control policy a defines a multivariate stopping rule ([[tau].
0 criterion was used as the stopping rule to determine the number of factors extracted.
When precise trait-level estimates are needed, a standard error of measurement (SEM) stopping rule might be chosen that ensures 95 percent confidence ([+ or -] 2 SEM) that a respondent's actual trait level falls within a range of only a few points.
To limit the amount of adaptive sampling, an arbitrary stopping rule of S levels was imposed.
Using our data, we can estimate the implicit stopping rule that is generated by the subjects' observed behavior.
Although time pressure will probably not force you to stop prematurely if the die is used, a random stopping rule can generate an interesting discussion of dynamics and time preference in an intermediate class.
In the first way, a stochastic approximation algorithm together with a stopping rule iteratively finds the appropriate analyte level for a standard prepared from a reference material that will yield the same average signal response as the new production calibrator, whose concentration is not precisely known at the time of manufacture; the value assignment of the production calibrator is then the analyte level of the reference standard at the final iteration of the algorithm.