A comparison of three point estimators for \(P(Y

DOI10.1016/0167-9473(87)90008-9zbMath0606.62111OpenAlexW2084744038WikidataQ57090343 ScholiaQ57090343MaRDI QIDQ1084824

Benjamin Reiser, Irwin Guttman

Publication date: 1987

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(87)90008-9

zbMATH Keywords

reliabilitymaximum likelihoodsimulation studyUMVUEuniformly minimum variance unbiased estimatorsstandard normal distributionBehrens-Fisher distributionpredictive estimator

Mathematics Subject Classification ID

Point estimation (62F10) Reliability and life testing (62N05)

Related Items (7)

Point estimation of the stress–strength reliability parameter for parallel system with independent and non-identical components ⋮ Inferences on stress–strength parameter based on GLD5 distribution ⋮ EstimatingP(Y < X) whenXandYare paired exponential variables ⋮ Inferences on Stress-Strength Reliability from Lindley Distributions ⋮ Estimation of \(P(Z<Y)\) for correlated stochastic time series models ⋮ Sample size choice for reliability verification in strength‐stress models ⋮ Stress-strength reliability of generalized skew-elliptical distributions and its Bayes estimation

Cites Work

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• Estimation of p(y<x) in the burr case: a comparative study
• Statistical Inference for Pr(Y < X): The Normal Case
• A predictive approach to the random effect model
• Bayesian stratified two-phase sampling results: k characteristics
• The Estimation of Reliability from Stress-Strength Relationships
• Some estimates of reliability using interference theory
• Estimation of the Probability that Y < X
• The Estimation of Pr (Y < X) in the Normal Case

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