type-2 error

(redirected from type-II error)

type-2 error

An error made when a test fails to reject a false null hypothesis.
References in periodicals archive ?
Widely used performance measures of default prediction systems are accuracy, Type-I error, Type-II error, and AUC (Verikas et al.
In default prediction, Type-I error is more important than Type-II error because it represents potential credit loss and Type-II error implies potential loss of business.
Conversely, it is type-II error to accept the hypothesis when it is false.
To figure out which rule convicts the innocent suspect least frequently, we can model the problem as the interaction of type-I and type-II errors.
Instead, it controlled for the statistical power (the complement of the type-II error rate) and uses the resulting type-I error rate, computed from the sample size and other information, for the test.
The type-I and type-II error rates are determined by the value of [t.
A power analysis was performed to investigate the likelihood of a type-II error.
However, the power of the multiple regression and ANOVA models was not sufficient to exclude a type-II error.
Errors in the predictions of a model occur either when the model incorrectly predicts that a bank will survive when it actually fails, a Type-I error, or when the model incorrectly predicts that a bank will fail when it actually survives, a Type-II error.
For the same level of Type-I error in each model, table 3 shows the corresponding level of Type-II error.
Without knowing the fate of manuscripts rejected for publication in Blank's (or any other researcher's) sample, the severity of the type-II error problem cannot be determined.
The issue of scientific concern vis-a-vis type of review process employed by journal editors is the severity of type-I and type-II errors.

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