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

Mathematics

• EM Algorithm 50%
• Gaussian Distribution 100%
• Heavy-Tailed Distribution 100%
• Likelihood Theory 50%
• Make Inference 50%
• Maximum Likelihood 50%
• Maximum Likelihood Estimate 50%
• Multivariate Distribution 50%
• Random Effect 100%
• Real Data 50%
• Repeated Measure Analysis 50%
• Residuals 100%
• Stochastics 50%
• Variance Component 50%

Keyphrases

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

INIS

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