Stochastic Comparisons for Series and Parallel Systems with Heterogeneous Power Lomax Component Lifetimes

The present communication provides a comparison between the lifetimes of the series and the parallel systems with independent heterogeneous power Lomax ( $$\mathcal{PL}$$ ) component lifetimes with respect to the usual stochastic ordering and the reversed hazard rate ordering. The sufficient conditions for the comparison of the lifetimes of two series systems have been developed when the heterogeneity is assumed in two model parameters. In addition, the reversed hazard rate ordering between the lifetimes of the parallel systems for multiple-outlier models have been established. Various examples and counterexamples have been presented to illustrate the theoretical establishments.

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Publication Details

Journal
Mathematical Methods of Statistics
Published
2024-12-01
DOI
https://doi.org/10.3103/s1066530724700212
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Stochastic Comparisons for Series and Parallel Systems with Heterogeneous Power Lomax Component Lifetimes

Suchandan Kayal, Raju Bhakta
Mathematical Methods of Statistics
Statistical Distribution Estimation and Applications
article

Stochastic Comparisons for Series and Parallel Systems with Heterogeneous Power Lomax Component Lifetimes

Suchandan Kayal, Raju Bhakta
article en

Abstract

The present communication provides a comparison between the lifetimes of the series and the parallel systems with independent heterogeneous power Lomax ( $$\mathcal{PL}$$ ) component lifetimes with respect to the usual stochastic ordering and the reversed hazard rate ordering. The sufficient conditions for the comparison of the lifetimes of two series systems have been developed when the heterogeneity is assumed in two model parameters. In addition, the reversed hazard rate ordering between the lifetimes of the parallel systems for multiple-outlier models have been established. Various examples and counterexamples have been presented to illustrate the theoretical establishments.

Mathematical Methods of StatisticsVol. 33(4)
National Institute of Technology Rourkela (IN)
Affordable and clean energy
Openalex Percentile: Top 74%
Statistical Distribution Estimation and Applications
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Stochastic Comparisons for Series and Parallel Systems with Heterogeneous Power Lomax Component Lifetimes — Suchandan Kayal, Raju Bhakta · Mathematical Methods of Statistics (2024) | TGRS Research Map | TGRS