The correct rejection fraction is the probability that the hypothesis test rejects and the screening test with the larger observed area under the curve is the screening test with larger true area under the curve.
The wrong rejection fraction is the probability that the hypothesis test rejects but the screening test with the larger observed area under the curve is the screening test with the smaller true area under the curve.
The test rejects ℋ 0 if T GL X)≤γ ′, where γ ′ is the detection threshold.
The test rejects the null hypothesis at the 0.05 significance level.
Specifically, the likelihood ratio test rejects the null hypothesis that none of the selected attributes contribute to the derived utility.
Hausman test points us in favor of a fixed-effect regression and Wooldridge test rejects absence of autocorrelation.
In 5% significance level, the test rejects the null hypothesis that each data set follows a standard normal distribution.
Actually, the Breusch and Pagan Lagrange multiplier test rejects the null hypothesis that the OLS is the appropriate estimation method.
The result h is 1 if the test rejects the null hypothesis at the 5% significance level, 0 otherwise.
Once the summation score reaches a predefined level (h), the test rejects the null hypothesis in favor of the alternative hypothesis, which indicates an adequate performance level.
The K-S test rejects the hypothesis of white noise whenever the maximum deviation between the cumulative spectrum and the straight line is too large.
