Bayesian Approach to Estimating the Burr Type III Distribution of Three Parameters and Application to Arthritis Relief Times Data
Alexander K. Kim

Abstract
In this paper, the Metropolis-Hastings algorithm is applied to find Bayes estimates of three parameters of the Burr Type III distribution. The Metropolis-Hastings algorithm is a Markov Chain Monte Carlo (MCMC) method to sample from distributions that cannot easily be sampled from by other means. Using this same algorithm, arthritis relief times data is analyzed.

Full Text: PDF     DOI: 10.15640/arms.v11n2a2