摘要：In this paper, parameters estimation for the generalized Rayleigh (GR) distribution are discussed under the adaptive type-II progressive censoring schemes based on maximum product spacing. A comparison studies with another methods as maximum likelihood, and Bayesian estimation by use Markov chain Monte Carlo (MCMC) are discussed. Also, reliability estimation and hazard function are obtained. A numerical study using real data and Monte Carlo Simulation are performed to compare between different methods..
关键词：Generalized Rayleigh distribution; Adaptive Type-II progressive censoring; Maximum Product Spacing; Bayesian estimation and Reliability estimation.
