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Journal of Statistical Computation and Simulation Volume 83, 2013 - Issue 12
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Original Articles

Testing exponentiality based on Type-I censored data

Reza PakyariDepartment of Mathematics, Faculty of Science, Arak University, Arak38156-8-8349, IranCorrespondence[email protected]
&
N. BalakrishnanDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, CanadaL8S 4K1
Pages 2369-2378 | Received 04 Oct 2011, Accepted 04 May 2012, Published online: 25 Jun 2012

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Siddhartha Chakraborty & Biswabrata Pradhan. (2022) Weighted cumulative residual Kullback–Leibler divergence: properties and applications. Communications in Statistics - Simulation and Computation 0:0, pages 1-13.
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Xinyan Qin, Jiao Yu & Wenhao Gui. (2022) Goodness-of-fit test for exponentiality based on spacings for general progressive Type-II censored data. Journal of Applied Statistics 49:3, pages 599-620.
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A. Pakgohar, A. Habibirad & F. Yousefzadeh. (2020) Goodness of fit test using Lin-Wong divergence based on Type-I censored data. Communications in Statistics - Simulation and Computation 49:9, pages 2485-2504.
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A. Pakgohar, A. Habibirad & F. Yousefzadeh. (2019) Lin–Wong divergence and relations on type I censored data. Communications in Statistics - Theory and Methods 48:19, pages 4804-4819.
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H. Alizadeh Noughabi & M. Chahkandi. (2018) Testing the validity of the exponential model for hybrid Type-I censored data. Communications in Statistics - Theory and Methods 47:23, pages 5770-5778.
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M. Khalili, A. Habibirad & F. Yousefzadeh. (2018) Some properties of Lin–Wong divergence on the past lifetime data. Communications in Statistics - Theory and Methods 47:14, pages 3464-3476.
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Articles from other publishers (1)

Reza Pakyari & Omama M. Al-Hamed. (2023) On testing exponentiality under Type-I censoring. Frontiers in Applied Mathematics and Statistics 9.
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