… application of the Score confidence interval to Aiken’… Score confidence interval to V is
described, a numerical example is provided, and a demonstration of the Score confidence interval …

… confidence intervals for analyzing categorical data. A considerable literature indicates that
the method of inverting score … can be quite conservative, inverting a score test using the mid P-…

… CI G(a) is proposed by replacing the coefficient 1/4 in the score interval with … confidence
intervals, we recommend the generalized score interval CI G(0.3) for the nominal confidence …

… We conclude that each parameter had an influence on the risk-score confidence interval.
In the first simulation, we analyzed a case when there are low population coefficients, high …

… The sample size required to produce a Wilson Score confidence interval with a lower
confidence limit of L, may be derived by using equation 5, setting p = L, and solving for n. (Again, …

… For completeness we present 95% confidence intervals for other methods in Table 4 as …
confidence intervals are narrow, and the ones for MNN do not overlap with confidence intervals …

… The 95% confidence intervals and expected Brier skill score for an unbiased forecast with
low skill (… Symbols show the empirical confidence intervals from the Monte Carlo simulations. …

… To evaluate the coverage probability of the proposed BCa Bootstrap confidence interval
procedure based on the propensity score subclassification, we apply the proposed procedure …

… confidence intervals, and variance estimation when the matched nature of the propensity-score …
In Section 3, we examine coverage of confidence intervals and variance estimation in the …

… To overcome this obstacle, this article applies a new asymmetric score confidence interval
for the population mean of a rating scale variable to the process of content validation. The …