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    Inference In The Log-Logistic Distribution Based On An Adaptive Progressive Type-Ii Censoring Scheme 

    Sewailem, Maha F. (Applied Statistics, 2019 , Master Thesis)
    The primary aim of this study is to explore the maximum likelihood estimation (MLE) and the Bayesian approach to estimate the parameters of log-logistic model and calculate the approximate confidence interval for the ...

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    Author
      Sewailem, Maha F. (1)
    Type
      Master Thesis (1)
    Subject
    • adaptive progressive type-II censoring scheme (1)
    • Bayesian estimation (1) Maximum likelihood estimation (MLE) (1) squared error loss function (SELF) (1) ... View More
    Publication Date
      2019 (1)
    Accessioned Date
      2019 (1)
    Has File(s)
      Yes (1)

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