In this research, point and interval estimation for unknown parameters of Burr Type-X (Burr-X) distribution based on the Type-I hybrid progressive censoring are obtained. For the estimation process, the maximum likelihood estimations (MLEs) and Bayesian methods (BM) with Markov Chain Monte Carlo (MCMC) are used. Finally, some computations and comparisons between the different methods based on simulation data are obtained.
Digital Object Identifier (DOI)
M. Amein, M.; Sayed-Ahmed, Neveen; and Sami Bakri, Ohoud
"Interval Estimation for Burr Type-X Distribution under Type-I Hybrid Progressive Censoring Scheme,"
Journal of Statistics Applications & Probability: Vol. 9
, Article 6.
Available at: https://dc.naturalspublishing.com/jsap/vol9/iss1/6