Estimation of stress-strength reliability from unit-Burr Ⅲ distribution under records data
Author:
Affiliation:
1. School of Mathematics, Yunnan Normal University, Kunming, China
2. Department of Statistics, St. Anthony's College, Shillong, Meghalaya, India
Abstract
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine
Reference46 articles.
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2. Z. Birnbaum, R. McCarty, A distribution-free upper confidence bound for $P(Y < X)$ based on independent samples of $X$ and $Y$, Ann. Math. Stat., 29 (1958), 558–562. https://doi.org/10.1214/aoms/1177706631
3. A. Baklizi, Estimation of $P(X < Y)$ using record values in the one and two parameter exponential distributions, Commun. Stat.-Theor. M., 37 (2008), 692–698. https://doi.org/10.1080/03610920701501921
4. K. Krishnamoorthy, L. Yin, Confidence limits for stress–strength reliability involving Weibull models, J. Stat. Plan. Infer., 140 (2010), 1754–1764. https://doi.org/10.1016/j.jspi.2009.12.028
5. A. Ahmed, F. Batah, On the estimation of stress-strength model reliability parameter of power rayleigh distribution, Iraqi J. Sci., 2023,809–822. https://doi.org/10.24996/ijs.2023.64.2.27
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1. Stress–Strength Reliability Analysis for Different Distributions Using Progressive Type-II Censoring with Binomial Removal;Axioms;2023-11-15
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