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

Keyphrases

• NONMEM 100%
• Heavy-tailed Distribution 100%
• Random Effects 66%
• Residual Error 66%
• Maximum Likelihood Estimation 33%
• Fixed Effects 33%
• Variance Components 33%
• EM Algorithm 33%
• Exact Estimation 33%
• Slash 33%
• Maximum Likelihood Theory 33%
• Elliptically Contoured Distribution 33%
• Repeated Measures Data 33%
• Scale Mixtures of Normal Distributions 33%
• Multivariate Distribution 33%
• Stochastic Approximation 33%
• Scale Mixture of Normals 33%
• Outlier Accommodation 33%
• Contaminated Normal 33%
• Estimation Procedures 33%

Mathematics

• Heavy-Tailed Distribution 100%
• Nonlinear Mixed Effects Model 100%
• Residuals 66%
• Gaussian Distribution 66%
• Random Effect 66%
• Real Data 33%
• Maximum Likelihood 33%
• Stochastics 33%
• Variance Component 33%
• Repeated Measure Analysis 33%
• Make Inference 33%
• EM Algorithm 33%
• Likelihood Theory 33%
• Multivariate Distribution 33%
• Maximum Likelihood Estimate 33%

INIS

• distribution 100%
• nonlinear problems 100%
• data 40%
• mixtures 40%
• randomness 40%
• maximum-likelihood fit 40%
• errors 40%
• applications 20%
• algorithms 20%
• performance 20%
• multivariate analysis 20%
• approximations 20%
• stochastic processes 20%