Inverse Chen Bayesian analysis for Parallel Redundant Stress –Strength Reliability

In this paper, a Bayesian analysis made to estimate the reliability of a parallel redundant system with independent stress and strength of Inverse Chen distribution(ICD). The analysis is focused on gamma-primed left-censored samples under four distinct loss functions. (squared error, Quadratic, weighted and Linear exponential loss function). A Monte Carlo simulation was conducted to compare the estimates using the mean square error to obtain the best estimate. It was found that the best estimators can be under squared error loss function.

Authors

Institutions

Publication Details

Journal
Mustansiriyah journal of pure and applied sciences.
Published
2025-03-30
DOI
https://doi.org/10.47831/mjpas.v3i2.202
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

Inverse Chen Bayesian analysis for Parallel Redundant Stress –Strength Reliability

Nada S. Karam, Hajer
Mustansiriyah journal of pure and applied sciences.
Fatigue and fracture mechanics
article

Inverse Chen Bayesian analysis for Parallel Redundant Stress –Strength Reliability

Nada S. Karam, Hajer
article en

Abstract

In this paper, a Bayesian analysis made to estimate the reliability of a parallel redundant system with independent stress and strength of Inverse Chen distribution(ICD). The analysis is focused on gamma-primed left-censored samples under four distinct loss functions. (squared error, Quadratic, weighted and Linear exponential loss function). A Monte Carlo simulation was conducted to compare the estimates using the mean square error to obtain the best estimate. It was found that the best estimators can be under squared error loss function.

Mustansiriyah journal of pure and applied sciences.Vol. 3(2)
Ministry of Education Science and Technology (MW), Mustansiriyah University (IQ)
Openalex Percentile: Top 93%
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.