A Bayesian approach to construct confidence intervals for comparing the rainfall dispersion in Thailand.

ABSTRACT: Natural disasters such as drought and flooding are the consequence of severe rainfall fluctuation, and rainfall amount data often contain both zero and positive observations, thus making them fit a delta-lognormal distribution. By way of comparison, rainfall dispersion may not be similar in enclosed regions if the topography and the drainage basin are different, so it can be evaluated by the ratio of variances. To estimate this, credible intervals using the highest posterior density based on the normal-gamma prior (HPD-NG) and the method of variance estimates recovery (MOVER) for the ratio of delta-lognormal variances are proposed. Monte Carlo simulation was used to assess the performance of the proposed methods in terms of coverage probability and relative average length. The results of t

SUBMITTER: Maneerat P 

PROVIDER: S-EPMC7020819 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature