Literature DB >> 35706988

Order restricted classical inference of a Weibull multiple step-stress model.

Ayan Pal1, Sharmishtha Mitra1, Debasis Kundu1.   

Abstract

In this paper, a multiple step-stress model is designed and analyzed when the data are Type-I censored. Lifetime distributions of the experimental units at each stress level are assumed to follow a two-parameter Weibull distribution. Further, distributions under each of the stress levels are connected through a tampered failure-rate based model. In a step-stress experiment, as the stress level increases, the load on the experimental units increases and hence the mean lifetime is expected to be shortened. Taking this into account, the aim of this paper is to develop the order restricted inference of the model parameters of a multiple step-stress model based on the frequentist approach. An extensive simulation study has been carried out and two real data sets have been analyzed for illustrative purposes.
© 2020 Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Step-stress model; bootstrap confidence interval; isotonic regression; maximum-likelihood estimator; tampered failure rate based model

Year:  2020        PMID: 35706988      PMCID: PMC9041687          DOI: 10.1080/02664763.2020.1736526

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


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1.  Maximum precision estimation for a step-stress model using two-stage methodologies.

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Journal:  J Appl Stat       Date:  2021-06-25       Impact factor: 1.416

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