Confidence intervals are a standard output of many free and paid A/B testing tools. Most A/B test reports contain one or more interval estimates. Even if you’re simply a consumer of such reports ...

Routine applications of quantile regression analysis require reliable and practical algorithms for estimating standard errors, variance-covariance matrices, as well as confidence intervals.

Although it is well known that modern methods of computing confidence intervals (CIs) based on likelihood or simulation have important advantages, normal approximation confidence interval procedures ...

The commonly used software packages come with two options, referred to as the parametric and jackknife methods, for computing the associated confidence intervals.