Methodologies for uncertainty analysis


There follows a categorised list of the methods included in this catalogue. The [decision tree] provides guidance in choosing an approriate uncertainty analysis method. This list focuses on methods for uncertainty analysis. The issue of [decision making under uncertainty] is dealt with separately. Quantitative analysis techniques to support [decision making under uncertainty] will tend to build upon one or more of the methods listed here. * [Forward uncertainty propagation] * [Error propagation equations] * [Monte Carlo propagation] * [Reliability methods] * [Fuzzy and imprecise methods] * [Model calibration and conditioning uncertainty on available data] * [Nonlinear regression] * [Bayesian methods] * [Generalized Likelihood Uncertainty Estimation (GLUE)] * [Qualitative methods] * [NUSAP] * [Real-time data assimilation] * [Kalman Filter] * [Ensemble Kalman Filter] * [Extended Kalman Filter] * [Sequential Monte Carlo methods] * [Sensitivity analysis] From unknown Thu Aug 7 20:37:51 +0100 2008 From: Date: Thu, 07 Aug 2008 20:37:51 +0100 Subject: acceptance Message-ID: <20080807203751+0100@www.floodrisknet.org.uk>
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