type i error rate造句
例句與造句
- This leads to a large Type I error rate.
- The reduction of the type I error rate has been labelled as the " conservatism " of classical methods.
- In practice, post hoc analyses are usually concerned with finding patterns and / or relationships between type I error rate.
- The usual results for linear combinations of Type I Error Rate, the rate of falsely rejecting a true null hypothesis.
- Any statistical analysis involving multiple hypotheses is subject to inflation of the type I error rate if appropriate measures are not taken.
- It's difficult to find type i error rate in a sentence. 用type i error rate造句挺難的
- The same is not true of M-estimators and the type I error rate can be substantially above the nominal level.
- Choosing rules once the data have been seen tends to increase the Type I error rate owing to testing effects suggested by the data.
- For a fixed level of Type I error rate, use of these statistics minimizes Type II error rates ( equivalent to maximizing power ).
- The type I error rate or "'significance level "'is the probability of rejecting the null hypothesis given that it is true.
- In this sense, even a test that does not provide Type I Error Rate protection, using multiple comparisons methods, is considered as post hoc analysis.
- When the " p "-value is calculated correctly, this test guarantees that the Type I error rate is at most " ? ".
- In some cases where exhaustive permutation resampling is performed, these tests provide exact, strong control of Type I error rates; in other cases, such as bootstrap sampling, they provide only approximate control.
- For any specific sample and exploratory or confirmatory hypothesis, optimal discriminant analysis ( ODA ) identifies the statistical model that yields maximum predictive accuracy, assesses the exact Type I error rate, and evaluates potential cross-generalizability.
- However, when any of these tests are conducted to test the underlying assumption of homoscedasticity ( " i . e . " homogeneity of variance ), as a preliminary step to testing for mean effects, there is an increase in the experiment-wise Type I error rate.
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