Estimation of the generalized logistic distribution parameters: Comparative study
By Muna Alkasasbeh, Mohammad Z. Raqab. 2009
86 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/291c7e09e7f8fd4d65e02f40fec4dc31e3b2fc58
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In Statistics and Probability
- Haitham M. Yousof
- Gauss Moutinho Cordeiro
- Edwin M. M. Ortega
- Sanku Dey
- Saralees Nadarajah
- G. Hamedani
- Morad Alizadeh
- Devendra Kumar
Citations in the corpus
- Estimation of the stress-strength reliability for the generalized logistic distribution (2013, background): “Extensive work on GL distribution can be found in [17,3,2,14].”
- Comparison of estimation methods for the Weibull distribution (2013, methodology): “Until now, estimation methods based on L-moments and TL-moments have been applied only for the generalized Rayleigh and the exponential distributions, see Kundu and Raqab [35] and Abdul-Moniem [39].”
- Bayesian and classical inference of reliability in multicomponent stress-strength under the generalized logistic model (2020, methodology): “Recently, many articles have been devoted to study the GL model for examples: Alkasasbeh and Raqab (2009) estimated the unknown parameters of the GL lifetime model using different approaches, Asgharzadeh, Valiollahi, and Raqab (2013) estimated the stress strength reliability function of two…”
- Weighted exponential distribution: properties and different methods of estimation (2015, methodology): “Gupta and Kundu [15] and Kundu and Raqab [3] used the percentile-based estimators and compared with the other estimators for generalized exponential distribution and generalized Rayleigh distribution, respectively.”
- Statistical properties and different methods of estimation of Gompertz distribution with application (2018, background): “Conversely, we assume that f satisfies equation (3), then we have”
- The Kumaraswamy-Log-Logistic Distribution (2012, background): “The density function corresponding to (1) is fKum(x) = a b x a−1 (1− x), 0 < x < 1, (2) which can be unimodal, increasing, decreasing or constant, depending on the parameter values.”