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المؤلفPakyari, Reza
تاريخ الإتاحة2022-01-31T11:16:07Z
تاريخ النشر2021-06-16
اسم المنشورCommunications in Statistics - Simulation and Computation
المعرّفhttp://dx.doi.org/10.1080/03610918.2021.1930052
الاقتباسReza Pakyari (2021): Goodness-of-fit testing based on Gini Index of spacings for progressively Type-II censored data, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2021.1930052
معرّف المصادر الموحدhttp://hdl.handle.net/10576/26221
الملخصIn this article, we propose two new scale invariant test statistics when the available data are subject to progressively Type-II censoring. The proposed tests are based on Gini index of spacings. It is observed thorough extensive Monte Carlo simulations that the proposed tests are quite powerful in compare to similar existing goodness-of-fit tests studied by Balakrishnan et al. and Wang. We also illustrate the method proposed here using a real data from reliability literature.
اللغةen
الناشرTaylor & Francis
الموضوعExponential distribution
Gini index
Goodness-of-fit testing
Monte Carlo simulation
Order statistics
Progressive Type-II censoring
Spacings
العنوانGoodness-of-fit testing based on Gini Index of spacings for progressively Type-II censored data
النوعArticle
dc.accessType Open Access


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