A0911
Title: Parameter estimation in a biomechanical model with multiplicative errors
Authors: Wei-Ying Wu - National Dong Hwa University (Taiwan) [presenting]
Abstract: A biomechanical model often requires parameter estimation and selection in a known but complicated nonlinear function. Since for data from a head-neck position tracking system, one of the biomechanical models show multiplicative time-dependent errors, we develop a modified penalized least squares estimator that can handle such error structure. The method can be also applied to a model with non-zero mean time-dependent additive errors. Asymptotic properties of the proposed estimator are investigated. A simulation study demonstrates that the proposed estimation performs well in both parameter estimation and selection with temporally correlated error. The comparison with an existing method for head-neck position tracking data shows better performance of the proposed method in terms of the variance accounted for VAF.