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Content available remote On minimum variance unbiased estimation of a reliability system
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EN
This paper investigates the minimum variance unbiased estimation (MVUE) of the reliability function R = P(Y < X) under the assumption that, both, the strength X and the stress Y are independent Gamma random variables. An approximate one- and two-sided confidence intervals for R is obtained. Some numerical results are evaluated for particular sample sizes. Also the MVUE results of this paper are compared with the results obtained by Tong [7].
EN
The Uniformly Minimum Variance Unbiased (UMVU) and the Maximum Likelihood (ML) estimations of R = P(X ≤ Y ) and the associated variance are considered for independent discrete random variables X and Y. Assuming a discrete uniform distribution for X and the distribution of Y as a member of the discrete one parameter exponential family of distributions, theoretical expressions of such quantities are derived. Similar expressions are obtained when X and Y interchange their roles and both variables are from the discrete uniform distribution. A simulation study is carried out to compare the estimators numerically. A real application based on demand-supply system data is provided.
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