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The Proposed RSSE Method to Estimate Type One Censoring Data with S-function for COVID-19 |
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PP: 709-714 |
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doi:10.18576/amis/180403
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Author(s) |
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Khaldoun Mohammad Ayyalsalman,
Iden Hassan Alkanani,
Adeeb Ahmed AL Rahamneh,
Muhammad Turki Alshurideh,
Khaleel Al-Daoud,
Sulieman Ibraheem Shelash Al-Hawary,
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Abstract |
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| To get the estimated values for parameters, this study use the recommended Ranking set sampling estimator method (RSSE), which is based on the Newton Raphson approach. For type one censored data, the parameters of the Exponential-Rayleigh distribution of order statistic are estimated. subsequently utilising real COVID-19 data from Health and Environment Ministry in Iraqi and Al Karkh General Hospital. Fuzzy numbers are obtained by estimating their values using the nonlinear membership function (S-function). Finally, the ranking algorithm is applied to turn the fuzzy numbers into crisp numbers. |
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