Manara - Qatar Research Repository
Browse
10.1007_s13198-021-01510-3.pdf (238.75 kB)

Prediction of future failures in the log-logistic distribution based on hybrid censored data

Download (238.75 kB)
journal contribution
posted on 2022-11-22, 21:15 authored by Wassim R. Abou Ghaida, Ayman Baklizi

We consider the prediction of future observations from the log-logistic distribution. The data is assumed hybrid right censored with possible left censoring. Different point predictors were derived. Specifically, we obtained the best unbiased, the conditional median, and the maximum likelihood predictors. Prediction intervals were derived using suitable pivotal quantities and intervals based on the highest density. We conducted a simulation study to compare the point and interval predictors. It is found that the point predictor BUP and the prediction interval HDI have the best overall performance. An illustrative example based on real data is given.

Other Information

Published in: International Journal of System Assurance Engineering and Management
License: https://creativecommons.org/licenses/by/4.0
See article on publisher's website: http://dx.doi.org/10.1007/s13198-021-01510-3

History

Language

  • English

Publisher

Springer Science and Business Media LLC

Publication Year

  • 2022

Institution affiliated with

  • Qatar University

Usage metrics

    Manara - Qatar Research Repository

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC