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Journal ArticleDOI

Estimation of reliability in multi-component stress-strength model following a Burr distribution

Manoj Pandey, +1 more
- 01 Jan 1991 - 
- Vol. 31, Iss: 1, pp 21-25
TLDR
In this article, the reliability of a multi-component stress-strength system when both stress and strength are independently identically distributed (idd) Burr random variables was investigated using both maximum likelihood and Bayes estimators.
About
This article is published in Microelectronics Reliability.The article was published on 1991-01-01. It has received 27 citations till now. The article focuses on the topics: M-estimator & Maximum a posteriori estimation.

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Citations
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Journal ArticleDOI

Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength

TL;DR: In this article, the authors estimate multicomponent stress strength reliability by assuming the Burr-XII distribution, and the reliability is estimated using the maximum likelihood method of estimation and results are compared using the Monte Carlo simulation for small samples.
Journal ArticleDOI

Survey of reliability and availability evaluation of complex networks using Monte Carlo techniques

TL;DR: In this article, the advantages, drawbacks, accuracy, and computer time of Monte Carlo simulation in evaluating reliability, availability and MTBF of a complex network are discussed and some conclusions are drawn and a general Monte Carlo reliability and MTTF assessment procedure is recommended.
Journal ArticleDOI

Estimation of reliability in multicomponent stress- strength model: log-logistic distribution

TL;DR: In this article, a multicomponent system of k components having strengths following k-independent and identically distributed random variables x 1, x 2,....x k and each component experiencing a random stress Y is considered.
Journal ArticleDOI

Estimation of Reliability in Multicomponent Stress-strength Based on Generalized Exponential Distribution

TL;DR: In this article, the reliability of a multicomponent system of k components having strengths following k-independently and identically distributed random variables X, X 2, X 3, X 4, X 5, X 6, X 7, X 8, X 9, X 10, X 11, X 12, X 13, X 14, X 15, X 16, X 17, X 18, X 19, X 20, X 21, X 22, X 23, X 24, X 25, X 26, X 27, X 28, X 30,
Journal ArticleDOI

Estimation of Reliability in Multicomponent Stress-Strength based On Inverse Rayleigh Distribution

TL;DR: In this article, a multicomponent system of k components having strengths following k independent and identically distruted random variables and each component experiencing a random stress Y is considered.
References
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Journal ArticleDOI

A Note on the Estimation of Pr {Y < X} in the Exponential Case

H. Tong
- 01 Nov 1974 - 
TL;DR: In this paper, the minimum variance unbiased estimation of Pr (Y < X) under the assumption that X and Y are independently negative exponentially distributed is derived in closed form, and results assume simpler forms than those in the normal case obtained by Church and Harris (1970) and Downton (1973).
Journal ArticleDOI

Estimation of p(y<x) in the gamma case

TL;DR: In this paper, a concise representation of the UMVUE and several representations for the MLE are derived and large-sample results are given and numerical comparison of the two point estimators is made.
Journal ArticleDOI

Estimation of p(y<x) in the burr case: a comparative study

TL;DR: In this paper, the authors compared three estimators for R = P(Y < X) when Y and X are two independent but not identically distributed random variables, i.e., the minimum variance unbiased, the maximum likelihood and the Bayes estimators.
Journal ArticleDOI

Bayesian analysis of reliability in multicomponent stress-strength models

TL;DR: In this article, a Bayesian treatment of the problem of inference about the reliability of a multicomponent stress-strength system which functions if s or more of k identical components simultaneously operate is provided.
Journal ArticleDOI

Bayes estimation of reliability in stress-strength model of Weibull distribution with equal scale parameters

TL;DR: In this article, a Bayesian approach to inference about the reliability in a multicomponent stress-strength system was proposed. But the comparison is carried out for single component stress strength system and the Monte Carlo efficiencies are obtained.
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