New method for confidence intervals improves accuracy of pollution data.
The article presents new ways to calculate confidence intervals for the variance and difference of variances in a specific type of statistical distribution. The researchers tested these methods using computer simulations and found that one method, called HPD, performed the best, even with small amounts of data. They then applied these methods to real-world data on air pollution in Chiang Mai, Thailand.