Estimation of multi-component stress-strength model based on geometric upper record values

Stress-strength models have special importance in reliability literature and engineering applications. This paper consists of the estimation problem of a stress-strength model with a multi-component system, i.e., a system that can be regarded to be alive if at least s out of k (s ≤ k) strength components exceed the stress component. The reliability of such a system has been obtained when both the stress and the strength variables have Geometric distributions. UMVUE of Rs,k is obtained based on upper record values. Bayesian estimators under the squared error loss function using the conjugate beta prior distributions have been obtained. A simulation study has been implemented to assess the performance of estimates. KEYWORDS : Stress-strength, Multi-component, Upper record values, UMVUE, Loss function

Authors

Publication Details

Journal
Asian Journal of Statistics and Applications
Published
2025-05-31
DOI
https://doi.org/10.47509/ajsa.2025.v02i01.02
Primary Topic
Fatigue and fracture mechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of multi-component stress-strength model based on geometric upper record values

Monojit Choudhury, Sudipto Halder
Asian Journal of Statistics and Applications
Fatigue and fracture mechanics
article

Estimation of multi-component stress-strength model based on geometric upper record values

Monojit Choudhury, Sudipto Halder
article en

Abstract

Stress-strength models have special importance in reliability literature and engineering applications. This paper consists of the estimation problem of a stress-strength model with a multi-component system, i.e., a system that can be regarded to be alive if at least s out of k (s ≤ k) strength components exceed the stress component. The reliability of such a system has been obtained when both the stress and the strength variables have Geometric distributions. UMVUE of Rs,k is obtained based on upper record values. Bayesian estimators under the squared error loss function using the conjugate beta prior distributions have been obtained. A simulation study has been implemented to assess the performance of estimates. KEYWORDS : Stress-strength, Multi-component, Upper record values, UMVUE, Loss function

Asian Journal of Statistics and ApplicationsVol. 2(1)
Openalex Percentile: Top 86%
Fatigue and fracture mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.