2012/03/01 by Akram Kohansal, Kohansal, Akram, Saeid Rezakhah +1
Computer Science · Decision Sciences · Mathematics · #62F10 #62F15 #62N02 #Bayesian Methods and Mixture Models #FOS: Mathematics #Probabilistic and Robust Engineering Design #Statistical Distribution Estimation and Applications #Statistical Methods and Bayesian Inference #Statistics Theory (math.ST) #math.ST #msc:62F10 #msc:62F15 #msc:62N02 #stat.TH
paper · pdf · doi:10.48550/arxiv.1203.0094
15 pages
arxiv created 2012/03/01 · openalex publication_date 2012/03/01 · arxiv updated 2012/03/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. We study the estimation of parameters of weighted exponential distribution based on Type-II hybrid censored data. By applying EM algorithm, maximum likelihood estimators are evaluated. Also using Fisher infirmation matrix asymptotic confidence intervals are provided. By applying Markov Chain Monte Carlo techniques Bayes estimators, and corresponding highest posterior density confidence intervals of parameters are obtained. Monte Carlo simulations to compare the performances of the different methods is performed and one data set is analyzed for illustrative purposes.