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Inverse Chen Bayesian analysis for Parallel Redundant Stress –Strength Reliability

Year: 2025

Type: article

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.

Source: Mustansiriyah journal of pure and applied sciences.

DOI: 10.47831/mjpas.v3i2.202

Authors: Hajer, Nada S. Karam

Institution: Mustansiriyah University

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409025818

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