A general class of small area estimation using calibrated hierarchical likelihood approach with applications to COVID-19 data

Mathematics

• Hierarchical Likelihood 100%
• Small Area Estimation 84%
• Joint Modeling 20%
• Dispersion Parameter 20%
• Laplace Approximation 20%
• Model 19%
• Bias Correction 19%
• Profile Likelihood 19%
• Marginal Likelihood 19%
• Generalized Linear Mixed Model 19%
• Auxiliary Information 18%
• Class 17%
• Fixed Effects 17%
• Count Data 17%
• Latent Variables 17%
• Survival Analysis 17%
• Bayesian Methods 16%
• Marginal Distribution 15%
• Random Effects 15%
• Likelihood Function 15%
• Estimate 13%
• Model-based 13%
• Sample Size 11%
• Methodology 11%
• Random variable 10%
• Distinct 10%
• Demonstrate 9%

Business & Economics

• Small Area Estimation 95%
• Bias Correction 22%
• Laplace Approximation 20%
• Generalized Linear Mixed Model 18%
• Likelihood Estimation 17%
• Marginal Likelihood 17%
• Sample Size 16%
• Count Data 16%
• Survival Analysis 15%
• Bayesian Methods 14%
• Random Effects 12%
• Levels of Analysis 12%
• Calibration 12%
• Random Variables 12%
• Fixed Effects 10%
• Modeling 7%
• Methodology 6%