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    On a new goodness-of-fit test for the Rayleigh distribution based on a conditional expectation characterization

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    Date
    2020
    Author
    Liebenberg, Shawn Carl
    Allison, James Samuel
    Ngatchou-Wandji, Joseph
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    Abstract
    We propose and study new goodness-of-fit tests for the Rayleigh distribution based on a characterization involving a conditional expectation. The asymptotic properties of the tests are explored and the performance of the new tests are evaluated and compared to that of existing tests by means of a Monte Carlo study. It is found that the newly proposed tests perform satisfactory compared to the competitor tests
    URI
    http://hdl.handle.net/10394/36273
    https://www.tandfonline.com/doi/full/10.1080/03610926.2020.1836220
    https://doi.org/10.1080/03610926.2020.1836220
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    • Faculty of Natural and Agricultural Sciences [4855]

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