A note on finite population prediction under asymetric loss functions
From MaRDI portal
Publication:3472979
DOI10.1080/03610928908830006zbMath0696.62015OpenAlexW1983909300MaRDI QIDQ3472979
Publication date: 1989
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610928908830006
Bayesian problems; characterization of Bayes procedures (62C10) Sampling theory, sample surveys (62D05) Minimax procedures in statistical decision theory (62C20) Admissibility in statistical decision theory (62C15) General considerations in statistical decision theory (62C05)
Related Items (9)
Some aspects of Bayesian loss-robustness ⋮ On the admissibility and inadmissibility of estimators of scale parameters using an asymmetric loss function ⋮ Admissible estimation for finite population under the Linex loss function ⋮ Performance of double \(k\)-class estimators for coefficients in linear regression models with non-spherical disturbances under asymmetric losses ⋮ Use of asymmetric loss functions in sequential estimation problems for multiple linear regression ⋮ Bayes Prediction for a Heteroscedastic Regression Superpopulation Model Using Balanced Loss Function ⋮ Bayes Predictor of One-Parameter Exponential Family Type Population Mean Under Balanced Loss Function ⋮ Estimation of the binomial parameternusing a linex loss function ⋮ On the minimaxity of pitman type estimator under a linex loss function
Cites Work
- Unnamed Item
- Bayesian Estimation and Prediction Using Asymmetric Loss Functions
- Minimax prediction in finite populations
- On the admissibility of c[Xbar + d with respect to the linex loss function]
- The Linear Least-Squares Prediction Approach to Two-Stage Sampling
- Balanced samples and robust Bayesian inference in finite population sampling
This page was built for publication: A note on finite population prediction under asymetric loss functions
