New Approximate Inferential Methods for the Reliability Parameter in a Stress–Strength Model: The Normal Case

DOI10.1081/STA-120037269zbMath1135.62380MaRDI QIDQ3155350

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Publication date: 14 January 2005

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Parametric hypothesis testing (62F03) Testing in survival analysis and censored data (62N03) Reliability and life testing (62N05)

Related Items (12)

Inference on the Weibull distribution based on record values ⋮ Reliability analysis of symmetrical columns with eccentric loading from Lindley distribution ⋮ On the hidden truncated bivariate Pareto (IV) model and associated inferential issues ⋮ Interval estimators for reliability: the bivariate normal case ⋮ Confidence limits for stress-strength reliability involving Weibull models ⋮ Reliability estimation of multicomponent stress-strength model based on copula function under progressively hybrid censoring ⋮ Inference on reliability in two-parameter exponential stress-strength model ⋮ Inferences on the reliability in balanced and unbalanced one-way random models ⋮ Confidence Intervals for Reliability of Stress-Strength Models in the Normal Case ⋮ ESTIMATION OF L-GEOMETRIC-DISCRETE RAYLEIGH MODEL ⋮ Generalized inferences of \(R\) = \(\Pr (X>Y)\) for Pareto distribution ⋮ Interval Estimation of the Stress-Strength Reliability with Independent Normal Random Variables

Cites Work

• Statistical Inference for Pr(Y < X): The Normal Case
• Confidence Limits for Stress-Strength Models with Explanatory Variables
• The Estimation of Reliability from Stress-Strength Relationships

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