Bayesian estimation of rainfall dispersion in Thailand using gamma distribution with excess zeros.

ABSTRACT: The gamma distribution is commonly used to model environmental data. However, rainfall data often contain zero observations, which violates the assumption that all observations must be positive in a gamma distribution, and so a gamma model with excess zeros treated as a binary random variable is required. Rainfall dispersion is important and interesting, the confidence intervals for the variance of a gamma distribution with excess zeros help to examine rainfall intensity, which may be high or low risk. Herein, we propose confidence intervals for the variance of a gamma distribution with excess zeros by using fiducial quantities and parametric bootstrapping, as well as Bayesian credible intervals and highest posterior density intervals based on the Jeffreys', uniform, or normal-gamma-beta p

SUBMITTER: Khooriphan W 

PROVIDER: S-EPMC9484466 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature