Prediction of censored exponential lifetimes in a simple step-stress model under progressive Type II censoring

Indrani Basak () and N. Balakrishnan
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Indrani Basak: Penn State Altoona
N. Balakrishnan: McMaster University

Computational Statistics, 2017, vol. 32, issue 4, No 21, 1665-1687

Abstract: Abstract In this article, we consider the problem of predicting survival times of units from the exponential distribution which are censored under a simple step-stress testing experiment. Progressive Type-II censoring are considered for the form of censoring. Two kinds of predictors—the maximum likelihood predictors (MLP) and the conditional median predictors (CMP)—are derived. Some numerical examples are presented to illustrate the prediction methods developed here. Using simulation studies, prediction intervals are generated for these examples. We then compare the MLP and the CMP with respect to mean squared prediction error and the prediction interval.

Keywords: Accelerated testing; Conditional median predictor; Maximum likelihood predictor; Order statistics; Mean square prediction error; Prediction interval; Progressive Type-II censoring (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s00180-016-0684-0

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