Bayesian Confidence Intervals for Coefficients of Variation of PM10 Dispersion

Herein, we propose the Bayesian approach for constructing confidence intervals both coefficient of variation a log-normal distribution and difference between coefficients two distributions. For first case, was compared with large-sample, Chi-squared, approximate fiducial approaches via Monte Carlo simulation. second method variance estimates recovery (MOVER), modified MOVER, using The results show that provided best To illustrate performances limit construction real data, they were applied to analyze PM10 datasets from Nan Chiang Mai provinces in Thailand, which are agreement simulation results. Doi: 10.28991/esj-2021-01264 Full Text: PDF