Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions | Zendy

Mahmoud Ragab | Zendy; Aisha Fayomi | Zendy; Ali Algarni | Zendy; G. A. Abd-Elmougod | Zendy; Neveen Sayed-Ahmed | Zendy; S. M. AboDahab | Zendy; S. AbdelKhalek | Zendy

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Statistical Analysis of Joint Type-I Generalized Hybrid Censoring Data from Burr XII Lifetime Distributions

Author(s) -

Mahmoud Ragab,

Aisha Fayomi,

Ali Algarni,

G. A. Abd-Elmougod,

Neveen Sayed-Ahmed,

S. M. AboDahab,

S. AbdelKhalek

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/5543187

Subject(s) - censoring (clinical trials) , monte carlo method , bayes' theorem , joint probability distribution , computation , computer science , statistics , mathematics , algorithm , bayesian probability

The quality of the products coming from different lines of production requires some tests called comparative life tests. For lines having the same facility, the lifetime of the product is distributed by Burr XII, the lifetime distribution, and units are tested under type-I generalized hybrid censoring scheme. The observed censoring data are used under maximum likelihood and the Bayes method to estimate the model parameters. The theoretical results are discussed and assessed through data analysis and Monte Carlo simulation study. Finally, we reported some brief comments obtained from numerical computation.

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