Quantile and least-absolute deviations (LAD) methods are popular robust statistical methods but have not generally been applied to state filtering and sequential parameter learning. This paper introduces robust state space models whose error structure coincides with quantile estimation...

Der erste Teil des Buches umfasst Techniken der Beschreibung und der Extrapolation von Zeitreihen. Es handelt sich hierbei um das klassische Business-Forecasting. Im zweiten Teil werden Zeitreihen mit Hilfe von Wahrscheinlichkeitsmodellen analysiert und prognostiziert.

Operational protocols are a valuable means for quality control. However, developing operational protocols is a highly complex and costly task. We present an integrated approach involving both intelligent data analysis and knowledge acquisition from experts that supports the development of...