New method improves accuracy of confidence intervals for non-normal distributions.
The article discusses how confidence intervals were created for a specific type of non-normal distribution called the quadratic-normal distribution. Three methods were used: bootstrap, normal approximation, and hypothesis testing. The study found that the confidence intervals based on hypothesis testing were more accurate than those based on bootstrap or normal approximation.