Reliability inferences in a $1$-out-of-$n$:G multicomponent stress-strength system with unit gamma Gompertz-$G_0$ components

This paper considers reliability inferences in a system of stress-strength $1$ outside of $n$: G when the strength systems belong to the gamma Gompertz unit distribution family (UGG). Stochastic comparisons are obtained between the survival distribution functions of this model. Additionally, some stochastic comparisons are carried out with majorized shape parameters of the unit gamma Gompertz distribution. The asymptotic and several bootstrap confidence intervals of the reliability of the stress strength are studied. In addition, the efficiency of the asymptotic and bootstrap confidence intervals is analyzed by simulation. A numerical example based on real-life data is displayed as an illustration.

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Publication Details

Journal
Hacettepe Journal of Mathematics and Statistics
Published
2025-01-29
DOI
https://doi.org/10.15672/hujms.1477060
Primary Topic
Fatigue and fracture mechanics
Type
article
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article

Reliability inferences in a $1$-out-of-$n$:G multicomponent stress-strength system with unit gamma Gompertz-$G_0$ components

Zohreh Pakdaman, Hossein Zamanı, Marzieh Shekari
Hacettepe Journal of Mathematics and Statistics
Fatigue and fracture mechanics
article

Reliability inferences in a $1$-out-of-$n$:G multicomponent stress-strength system with unit gamma Gompertz-$G_0$ components

Zohreh Pakdaman, Hossein Zamanı, Marzieh Shekari
article en

Abstract

This paper considers reliability inferences in a system of stress-strength $1$ outside of $n$: G when the strength systems belong to the gamma Gompertz unit distribution family (UGG). Stochastic comparisons are obtained between the survival distribution functions of this model. Additionally, some stochastic comparisons are carried out with majorized shape parameters of the unit gamma Gompertz distribution. The asymptotic and several bootstrap confidence intervals of the reliability of the stress strength are studied. In addition, the efficiency of the asymptotic and bootstrap confidence intervals is analyzed by simulation. A numerical example based on real-life data is displayed as an illustration.

Hacettepe Journal of Mathematics and StatisticsVol. 54(2)
University of Hormozgan (IR)
Openalex Percentile: Top 98%
Fatigue and fracture mechanics
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