Estimation of Process Variances in Robust Parameter Designs

Estimation of Process Variances in Robust Parameter Designs

Analysis of Robust Parameter Designs

Robust Parameter Estimation in Nonlinear Dynamic Process Models

Parameter estimation is a key issue in the mathematical modelling of nonlinear dynamic processes. Standard (gradient-based) methods for data fitting in nonlinear dynamic systems can suffer from slow and/or local convergence, among other problems. However, this is frequently ignored, potentially leading to wrong conclusions about the validity of a model regarding a certain data set. In order to ...

Robust Parameter Estimation in ComputerVisionCharles

Robust designs for series estimation

Abstract We discuss optimal design problems for a popular method of series estimation in regression problems. Commonly used design criteria are based on the generalized variance of the estimates of the coefficients in a truncated series expansion and do not take possible bias into account. We present a general perspective of constructing robust and efficient designs for series estimators which ...