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Articles

Inference of stress-strength for the Type-II generalized logistic distribution under progressively Type-II censored samples

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Pages 1975-1995 | Received 23 Nov 2016, Accepted 12 May 2017, Published online: 12 Jul 2017

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A. Joukar, M. Ramezani & S. M. T. K. MirMostafaee. (2020) Estimation of P(X > Y) for the power Lindley distribution based on progressively type II right censored samples. Journal of Statistical Computation and Simulation 90:2, pages 355-389.
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Fatma Gül Akgül. (2019) Reliability estimation in multicomponent stress–strength model for Topp-Leone distribution. Journal of Statistical Computation and Simulation 89:15, pages 2914-2929.
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Articles from other publishers (7)

Hossein Pasha-Zanoosi. (2023) Reliability of stress–strength model for exponentiated Teissier distribution based on lower record values. Japanese Journal of Statistics and Data Science.
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Menghan Li, Liang Yan, Yaru Qiao, Xia Cai & Khamis K. Said. (2023) Generalized Fiducial Inference for the Stress–Strength Reliability of Generalized Logistic Distribution. Symmetry 15:7, pages 1365.
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Narayanaswamy Balakrishnan & Erhard Cramer. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 153 183 .
Salman Babayi, Mohammad Seidpisheh & Gholamhossein Gholami. (2022) Statistical Inference of Reliability Parameter for the Skew-Normal Distribution under Progressive Type-II Censored Samples. Journal of Mathematics 2022, pages 1-15.
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Hanan Haj Ahmad, Ehab M. Almetwally & Dina A. Ramadan. (2022) A comparative inference on reliability estimation for a multi-component stress-strength model under power Lomax distribution with applications. AIMS Mathematics 7:10, pages 18050-18079.
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Fatma Gül Akgül. (2021) Classical and Bayesian estimation of multicomponent stress–strength reliability for exponentiated Pareto distribution. Soft Computing 25:14, pages 9185-9197.
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Sachin Chaudhary & Sanjeev K. Tomer. (2018) Estimation of stress–strength reliability for Maxwell distribution under progressive type-II censoring scheme. International Journal of System Assurance Engineering and Management 9:5, pages 1107-1119.
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