Posterior Regret Γ-Minimax Estimation and Prediction with Applications onk-Records Data Under Entropy Loss Function
DOI10.1080/03610920701855038zbMath1143.62002OpenAlexW1988567421MaRDI QIDQ3526074
Mohammad Jafari Jozani, Ahmad Parsian
Publication date: 24 September 2008
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920701855038
Bayes estimatorrobust Bayesian estimationentropy loss functionclass of priorsposterior regret \(\Gamma \)-minimax
Point estimation (62F10) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Minimax procedures in statistical decision theory (62C20)
Related Items (16)
Cites Work
- Unnamed Item
- Bayesian estimation and prediction for some life distributions based on record values
- The future occurrence of records
- Simultaneous estimation of parameters under entropy loss
- Linear prediction of record values for the two parameter exponential distribution
- Risk behavior of variance estimators in multivariate normal distribution
- An overview of robust Bayesian analysis. (With discussion)
- Estimation of scale parameter under entropy loss function
- Conditional ¡-minimax actions under convex losses
- Prediction intervals for the future record values from exponential distribution: comparative study
- Posterior regret Γ-minimax estimation in a normal model with asymmetric loss function
- Estimation and Prediction in a Two-Parameter Exponential Distribution Based on k-Record Values under LINEX Loss Function
- Inadmissibility of the Usual Estimators of Scale parameters in Problems with Unknown Location and Scale Parameters
This page was built for publication: Posterior Regret Γ-Minimax Estimation and Prediction with Applications onk-Records Data Under Entropy Loss Function