A study on comparisons of Bayesian and classical parameter estimation methods for the two-parameter Weibull distribution
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Publication:5083652
DOI10.31801/cfsuasmas.606890zbMath1489.62081OpenAlexW3002179790MaRDI QIDQ5083652
Halil Aydoğdu, Mahmut Kara, Asuman Yılmaz
Publication date: 20 June 2022
Published in: Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.31801/cfsuasmas.606890
Uses Software
Cites Work
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- A study of the effect of the loss function on Bayes estimate, posterior risk and hazard function for lindley distribution
- Estimation of the generalized logistic distribution parameters: comparative study
- Trimmed L-moments
- Generalized Rayleigh distribution: different methods of estimations
- Bayesian estimation of two-parameter Weibull distribution using extension of Jeffreys prior information with three loss functions
- Two-parameter Maxwell distribution: properties and different methods of estimation
- Parameter Estimation for the Double Pareto Distribution
- Accurate Approximations for Posterior Moments and Marginal Densities
- Bayesian Estimation and Prediction Using Asymmetric Loss Functions
- Modified maximum likelihood and modified moment estimators for the three-parameter weibull distribution
- Maximum Likelihood Estimation with the Weibull Model
- A study of the effect of loss functions on the Bayes estimates of dynamic cumulative residual entropy for Pareto distribution under upper record values
- Comparison of estimation methods for the Weibull distribution
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