Estimation of parameters of a pareto distribution by generalized order statistics
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Publication:4541737
DOI10.1080/03610920008832567zbMath1061.62517OpenAlexW2029049905MaRDI QIDQ4541737
Mohamed Habibullah, Mohammad Ahsanullah
Publication date: 28 July 2002
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920008832567
Point estimation (62F10) Order statistics; empirical distribution functions (62G30) Statistics of extreme values; tail inference (62G32)
Related Items (14)
Inferences based on generalized order statistics under truncated type-I generalized logistic distribution ⋮ Inference for Weibull distribution under generalized order statistics ⋮ Recurrence relations for single moments of generalized order statistics from doubly truncated distributions ⋮ Estimation under modified Weibull distribution based on right censored generalized order statistics ⋮ Unnamed Item ⋮ Bayesian Estimation for the Exponentiated Weibull Model via Markov Chain Monte Carlo Simulation ⋮ Estimation of location and scale parameters for the Burr XII distribution using generalized order statistics ⋮ Estimation Based on Generalized Order Statistics from the Burr Model ⋮ Linear Estimators and Predictors Based on Generalized Order Statistics from Generalized Pareto Distributions ⋮ Single and Product Moments of Generalized Order Statistics from Linear Exponential Distribution ⋮ On optimal linear equivariant estimation under progressive censoring ⋮ RETRACTED ARTICLE: Inferences based on generalized order statistics under truncated Type I generalized logistic distribution ⋮ On Bayesian interval prediction of future generalized-order statistics using doubly censoring ⋮ Estimation of common location parameter of several heterogeneous exponential populations based on generalized order statistics
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- A concept of generalized order statistics
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- Heavy-Tailed Distributions: Properties and Tests
- Estimation of the Location and Scale Parameters of a Pareto Distribution by Linear Functions of Order Statistics
- Business Failures: Another Example of the Analysis of Failure Data
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