Volume 16, Number 2 (2017) | JIRSS 2017, 16(2): 0-0 | Back to browse issues page


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Abstract:   (178 Views)

Lindley distribution has received a considerable attention in the sta-
tistical literature due to its simplicity. In this paper, we consider the
problem of predicting the failure times of experimental units that are
censored in a right-censored experiment when the underlying lifetime is
Lindley distributed. The maximum likelihood predictor, the best unbiased
predictor and the conditional median predictor are derived. Prediction in-
tervals based on these predictors are considered. We further propose two
resampling-based procedures for obtaining the prediction intervals. A nu-
merical example is used to illustrate the methodology developed in this
paper. Finally, a Monte Carlo simulation study is employed to evaluate
the performance of different prediction methods.

     
Type of Study: Original Paper | Subject: 62Gxx: Nonparametric inference
Received: 2016/06/6 | Accepted: 2017/03/21 | Published: 2017/03/21