Generalized interval estimation for the Birnbaum–Saunders distribution

Bing Xing Wang

Computational Statistics & Data Analysis, 2012, vol. 56, issue 12, 4320-4326

Abstract: In this paper, interval estimation for the Birnbaum–Saunders distribution is considered. The generalized confidence intervals for the shape parameter and some important reliability quantities such as its mean, quantiles and reliability function are explored. A simulation study illustrates the accuracy of these generalized confidence intervals. Finally, two numerical examples are used to illustrate the proposed procedures.

Keywords: Birnbaum–Saunders distribution; Generalized confidence interval; Monte Carlo simulation; Coverage probability (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:56:y:2012:i:12:p:4320-4326

DOI: 10.1016/j.csda.2012.03.023

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