Estimation in nonlinear mixed-effects models using heavy-tailed distributions

Mathematics

• Nonlinear Mixed Effects Model 97%
• Scale Mixture 90%
• Heavy-tailed Distribution 85%
• Random Effects 71%
• Outlier 68%
• Mixture of Normal Distributions 48%
• Measure Data 44%
• Repeated Measures 42%
• Fixed Effects 41%
• Stochastic Approximation 40%
• Variance Components 40%
• EM Algorithm 38%
• Multivariate Distribution 37%
• Maximum Likelihood Estimate 33%
• Simplicity 32%
• Maximum Likelihood 30%
• Gaussian distribution 29%
• Alternatives 21%
• Performance 20%
• Model 11%

Business & Economics

• Heavy-tailed Distribution 100%
• Outliers 63%
• Normal Distribution 50%
• Random Effects 49%
• Maximum Likelihood 47%
• Elliptical Distribution 37%
• Multivariate Distribution 34%
• Stochastic Approximation 34%
• EM Algorithm 33%
• Variance Components 32%
• Repeated Measures 30%
• Simplicity 24%
• Accommodation 23%
• Fixed Effects 21%
• Inference 19%
• Alternatives 11%
• Performance 8%