For survival probabilities with censored data, Rothman (1978, Journal of Chronic Diseases 31, 557-560) has recommended the use of quadratic confidence limits based on the assumption that the product ...

The binomial model is widely used in statistical applications. Usually, the success probability, p, and its associated confidence interval are estimated from a random sample. Thus, the observations ...

Abstract: In order to improve the screening accuracy of decommissioned power batteries and reduce the regulation errors of batteries in the process of echelon utilization, a cascade batteries ...

Wald-based and likelihood ratio-based confidence intervals are available in the MODEL procedure for computing a confidence interval on an estimated parameter. A confidence interval on a parameter can ...

Explain the behaviour of a confidence interval over repeated independent sampling and how this is linked to the interpretation of a confidence interval as "providing a range of values which we are XX% ...

Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...

Abstract: One of the most frequent and costly natural disasters that affects societies around the world is flooding. The combination of sea level rise and population growth in coastal regions makes it ...