Interval Estimation of Stress-Strength Reliability Based on Lower Record Values from Inverse Rayleigh Distribution. (16th November 2014)

• Record Type: Journal Article
• Authors: Tarvirdizade, Bahman; Kazemzadeh Garehchobogh, Hossein
• Other Names: de Almeida Adiel Teixeira Academic Editor.
• Is Part Of: Journal of quality and reliability engineering. Volume 2014(2014)
• Publication Date: 2014-11-16
• Subjects: Reliability (Engineering) -- Periodicals; Engineering -- Quality control -- Periodicals; Failure analysis (Engineering) -- Periodicals; Engineering -- Quality control; Failure analysis (Engineering); Reliability (Engineering); Electronic journals; Periodicals; 620.0045
• DOI: 10.1155/2014/192072
• Languages: English
• ISSNs: 2314-8055

Abstract

Abstract : We consider the estimation of stress-strength reliability based on lower record values whenX andY are independently but not identically inverse Rayleigh distributed random variables. The maximum likelihood, Bayes, and empirical Bayes estimators ofR are obtained and their properties are studied. Confidence intervals, exact and approximate, as well as the Bayesian credible sets forR are obtained. A real example is presented in order to illustrate the inferences discussed in the previous sections. A simulation study is conducted to investigate and compare the performance of the intervals presented in this paper and some bootstrap intervals.