has been cited by the following article(s):
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[1]
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Generalized fiducial inference for the generalized logistic distribution: Censored and uncensored cases
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Communications in Statistics-Theory …,
2024 |
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[2]
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ESTIMATING THE PARAMETERS OF GENERALIZED LOGISTIC DISTRIBUTION VIA GENETIC ALGORITHM BASED ON REDUCED SEARCH SPACE
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Journal of Mathematical Sciences,
2024 |
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[3]
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Bayesian and non-Bayesian inferential approaches under lower-recorded data with application to model COVID-19 data
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Sagheer, MS Eliwa, KM Alqahtani… - AIMS …,
2022 |
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[4]
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Fitting generalized logistic distribution by least squares based on the logistic transformation of order statistics
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2021 |
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[5]
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Estimations and Prediction for the Compound Rayleigh Distribution Based on Upper Record Values
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Journal of Computational and Theoretical Nanoscience,
2018 |
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[6]
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Detection and prediction of segments containing extreme significant wave heights
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Ocean Engineering,
2017 |
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[7]
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Available online www. jsaer. com
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2017 |
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[8]
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Identification of extreme wave heights with an evolutionary algorithm in combination with a likelihood-based segmentation
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Progress in Artificial Intelligence,
2017 |
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[9]
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建構產品壽命服從韋伯分配之壽命檢定計畫
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臺灣清華大學學位論文,
2016 |
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[10]
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On the Use of the Beta Distribution for a Hybrid Time Series Segmentation Algorithm
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Advances in Artificial Intelligence,
2016 |
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[11]
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Mixture of exponentiated Frechet distribution based on upper record values
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Journal of American Science,
2015 |
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[1]
|
Generalized fiducial inference for the generalized logistic distribution: Censored and uncensored cases
Communications in Statistics - Theory and Methods,
2024
DOI:10.1080/03610926.2024.2354810
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|
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[2]
|
ESTIMATING THE PARAMETERS OF GENERALIZED LOGISTIC DISTRIBUTION VIA GENETIC ALGORITHM BASED ON REDUCED SEARCH SPACE
Journal of Mathematical Sciences,
2024
DOI:10.1007/s10958-024-07088-y
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[3]
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Bayesian and non-Bayesian inferential approaches under lower-recorded data with application to model COVID-19 data
AIMS Mathematics,
2022
DOI:10.3934/math.2022873
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[4]
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Fitting generalized logistic distribution by least squares based on the logistic transformation of order statistics
Communications in Statistics - Theory and Methods,
2021
DOI:10.1080/03610926.2021.1912353
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