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Original Articles

Estimation of parameters of Kumaraswamy-Exponential distribution under progressive type-II censoring

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Pages 1951-1963 | Received 22 Jun 2016, Accepted 24 Feb 2017, Published online: 09 Mar 2017

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Eder S. Brito, Paulo H. Ferreira, Vera L. D. Tomazella, Daniele S. B. Martins Neto & Ricardo S. Ehlers. (2023) Inference methods for the Very Flexible Weibull distribution based on progressive type-II censoring. Communications in Statistics - Simulation and Computation 0:0, pages 1-25.
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Manoj Chacko & Rakhi Mohan. (2022) Estimation of Parameters of Kumaraswamy-Exponential Distribution Based on Progressively Type-II Hybrid Censored Data. American Journal of Mathematical and Management Sciences 41:1, pages 1-12.
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Articles from other publishers (6)

Eman A. Eldessouky, Osama H. Mahmoud Hassan, Mohammed Elgarhy, Eid A. A. Hassan, Ibrahim Elbatal & Ehab M. Almetwally. (2023) A New Extension of the Kumaraswamy Exponential Model with Modeling of Food Chain Data. Axioms 12:4, pages 379.
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Saurabh L. Raikar & Dr. Rajesh S. Prabhu Gaonkar. (2021) Jaya algorithm in estimation of P[X > Y] for two parameter Weibull distribution. AIMS Mathematics 7:2, pages 2820-2839.
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Xinyan Qin & Wenhao Gui. (2020) Statistical inference of Burr-XII distribution under progressive Type-II censored competing risks data with binomial removals. Journal of Computational and Applied Mathematics 378, pages 112922.
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Zakeia A. Al-saiary, Rana A. Bakoban & Areej A. Al-zahrani. (2019) Characterizations of the Beta Kumaraswamy Exponential Distribution. Mathematics 8:1, pages 23.
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Hassan S. Bakouch, Fernando A. Moala, Abdus Saboor & Haniya Samad. (2019) A bivariate Kumaraswamy-exponential distribution with application. Mathematica Slovaca 69:5, pages 1185-1212.
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Manoj Chacko & Rakhi Mohan. (2018) Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals. Computational Statistics 34:1, pages 233-252.
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