Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function

DOI10.1080/03610920903128911zbMath1203.62009OpenAlexW2037550084MaRDI QIDQ2786268

Priyanka Aggarwal, Ashok K. Bansal

Publication date: 21 September 2010

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610920903128911

zbMATH Keywords

balanced loss functionBayes predictive expected lossloss robustnessrelative savings lossbalanced stratified samplerelative lossstratified regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Related Items (4)

Bayes minimax estimation of the multivariate normal mean vector under balanced loss function ⋮ Optimal and minimax prediction in multivariate normal populations under a balanced loss function ⋮ All admissible linear predictors in the finite populations with respect to inequality constraints under a balanced loss function ⋮ Linear minimax prediction of finite population regression coefficient under a balanced loss function

Cites Work

• Bayes and minimax prediction in finite populations
• Bayes Predictor of One-Parameter Exponential Family Type Population Mean Under Balanced Loss Function
• On robust empirical bayes analysis of means and variances from stratified samples
• Bayes Prediction for a Heteroscedastic Regression Superpopulation Model Using Balanced Loss Function
• Robust Estimation in Finite Populations I
• Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach
• Robustness of Bayes Prediction Under Error-in-Variables Superpopulation Model

This page was built for publication: Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function