:: Volume 9, Issue 1 (9-2012) ::
JSRI 2012, 9(1): 11-30 Back to browse issues page
Prediction of Times to Failure of Censored Units in Hybrid Censored Samples from Exponential Distribution
A Asgharzadeh *1, R Valiollahi
1- , A.Asgharzadeh@umz.ac.ir
Abstract:   (2949 Views)

In this paper, we discuss different predictors of times to failure of units censored in a hybrid censored sample from exponential distribution. Bayesian and non-Bayesian point predictors for the times to failure of units are obtained. Non-Bayesian prediction Intervals are obtained based on pivotal and highest conditional density methods. Bayesian prediction intervals are also proposed. One real data set has been analyzed to illustrate all the prediction methods. Finally, different prediction methods have been compared using Monte Carlo simulations.

Keywords: Hybrid censoring, exponential distribution, maximum likelihood predictor, best unbiased predictor, conditional median predictor, Bayesian predictor, Monte Carlo simulation
Full-Text [PDF 210 kb]   (675 Downloads)    
Type of Study: Research | Subject: General
Received: 2015/12/22 | Accepted: 2015/12/22 | Published: 2015/12/22



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Volume 9, Issue 1 (9-2012) Back to browse issues page