PREDICTING DUNE EROSION WITH COMBINED PROCESS-BASED AND MULTIVARIATE STATISTICAL MODELS

Wavelet-Based Nonlinear Multivariate Statistical Process Control

In this paper, an approach of wavelet-based nonlinear PCA for statistical process monitoring is presented. The strategy utilizes the optimal wavelet decomposition in such a way that only approximation and the highest detail functions are used thus simplifying the overall structure and making the interpretation at each scale more meaningful. An orthogonal nonlinear PCA procedure is incorporated ...

Multivariate Statistical Process Monitoring

Process safety and environment pollution demands are continuously increasing in the process industry. Apart from that, requirements regarding final product quality and production efficiency are higher and higher [1]. This can be achieved by applying advanced process monitoring and control techniques. Process control is heavily dependent on the quality of the data, so it is crucial to measure as...

on some bayesian statistical models in actuarial science with emphasis on claim count

چکیده ندارد.

Multivariate Spatial Process Models

Process-based Modeling of Coastal Dune Development

A model that predicts sediment transport due to wind action can be valuable addition to hydrodynamic models to describe the long-term interaction between land and water. This thesis presents the application of an aeolian transport model [Sauermann et al., 2001, Kroy et al., 2002] as a tool for the evolution of coastal nourishments and dunes. The model was originally developed to describe import...