Bayesian estimators in uncertain nested error regression models

Mathematics

• Error Model 100%
• Bayesian Estimator 98%
• Random Effects 79%
• Regression Model 63%
• Posterior distribution 51%
• Small Area Estimation 35%
• Grouped Data 34%
• Noninformative Prior 32%
• Gibbs Sampling 30%
• Empirical Study 29%
• Sampling Methods 29%
• Finite Population 28%
• Bayesian inference 27%
• Conditional Distribution 26%
• Prior distribution 25%
• Model 25%
• Gaussian distribution 22%
• Prediction 20%
• Simulation Study 18%
• Context 16%
• Sufficient Conditions 12%
• Form 10%

Business & Economics

• Random Effects 82%
• Posterior Distribution 67%
• Regression Model 64%
• Estimator 61%
• Small Area Estimation 40%
• Grouped Data 39%
• Bayesian Inference 37%
• Gibbs Sampling 37%
• Conditional Distribution 31%
• Normal Distribution 28%
• Sampling Methods 27%
• Sampling 26%
• Simulation Study 24%
• Inference 21%
• Prediction 21%
• Empirical Study 16%