Bias-reduced marginal Akaike information criteria based on a Monte Carlo method for linear mixed-effects models

Mathematics

• Linear Mixed Effects Model 100%
• Akaike Information Criterion 93%
• Monte Carlo method 75%
• Likelihood 38%
• Model 24%
• Asymptotic Bias 18%
• Balanced Design 18%
• Asymptotic Theory 15%
• Random Effects 14%
• Regularity Conditions 14%
• Biased 13%
• Model-based 13%
• Simulation Study 10%
• Context 9%
• Estimator 8%
• Performance 8%
• Term 7%

Business & Economics

• Akaike Information Criterion 97%
• Monte Carlo Method 87%
• Asymptotic Bias 13%
• Asymptotic Theory 12%
• Random Effects 9%
• Regularity 9%
• Simulation Study 8%
• Estimator 7%
• Performance 3%