confidence interval (CI) for this fraction is constructed. The optimal sample size for obtaining the CI of a given length is also …

may be considered as a natural generalization of the unbiased Hedges’ g . In addition, confidence interval estimation for … the unknown parameter is demonstrated by applying the so-called inversion confidence interval principle. The regarded …

generalized confidence interval (GCI), large sample and Bayesian approaches. The difference between SNRs was estimated through the …

-Term Memory neural network module (LSTM) and confidence interval output module (CI). The proposed model can effectively extract …

We consider the problem of interval estimation of the odds ratio. An asymptotic confidence interval is widely applied … in economics, medicine, sociology, etc. Unfortunately, this confidence interval has a poor coverage probability …, significantly smaller than the nominal confidence level. In this paper, a new confidence interval is proposed. Its construction …

The confidence interval is an important statistical estimator of population location and dispersion parameters. The … paper considers a robust modified confidence interval, which is an adjustment of the Student's t confidence interval based … coverage ratio and average width of the proposed confidence interval are compared with certain existing and widely used …