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Nonparametric and Semiparametric Mixed Model Methods for Phase I Profile Monitoring
(Virginia Tech, 2010)
Profile monitoring is an approach in quality control best used where the process data follow a profile (or curve). The majority of previous studies in profile monitoring focused on the parametric modeling of either linear ...
Nonparametric and Semiparametric Linear Mixed Models
(Virginia Tech, 2012)
Mixed models are powerful tools for the analysis of clustered data and many extensions of the classical linear mixed model with normally distributed response have been established. As with all parametric models, correctness ...
Outlier Robust Nonlinear Mixed Model Estimation
(Virginia Tech, 2014)
In standard analyses of data well-modeled by a nonlinear mixed model (NLMM), an aberrant observation, either within a cluster, or an entire cluster itself, can greatly distort parameter estimates and subsequent standard ...