We've been developing intuitive high-quality statistical software at an affordable price, backed up by fast friendly customer service for over 25 years...
support@analyse-it.com Phone: +44-(0)113-247-3875
Office hours: 9am-5pm GMT Mon-Fri It's Tuesday 5:02 PM and the office is closed - e-mail us and we'll get back to you as soon as possible.
A distribution-free (non-parametric) quantile estimator that is the median of a set of quantiles calculated by re-sampling the original sample a large number of times and computing a quantile for each sample.
The bootstrap quantile (Linnet, 2000)as providing the lowest root-mean-squared-error (an estimate of the bias and precision in the estimate) for both normal and skewed distributions. Another advantage is that confidence intervals can be computed for smaller sample sizes, although Linnet still recommends a sample size of at least 100.