We develop a covariance-matrix-based uncertainty analysis for vector-network-analyzer scattering-parameter measurements. The covariance matrix captures all of the measurement uncertainties and statistical correlations between them. This allows the uncertainties of vector-network-analyzer scattering-parameter measurements to be propagated into the uncertainties of other quantities derived from s...

This paper presents a model on the leverage of …nancial intermediaries, where debt are held by risk averse agents and equity by the risk neutral. The paper shows that in an unregulated competitive market, …nancial intermediaries choose to be leveraged over the social best level. This is because the leverage of one intermediary imposes a negative externality upon others by reducing their pro…t m...

2 UNCERTAINTIES ASSOCIATED WITH GHG INVENTORIES..................................................2 2.1 LIMITATIONS AND PURPOSES OF UNCERTAINTY QUANTIFICATION....................................................3 2.2 PARAMETER UNCERTAINTIES: SYSTEMATIC AND STATISTICAL UNCERTAINTIES...............................3 3 AGGREGATING STATISTICAL UNCERTAINTY .................................................

Recently [1], a H∞ smoother has been developed and it gives good results for noise uncertainties. Nevertheless, when appear uncertain parameters, its performances decrease significantly. That’s why, in this paper, an estimator robust to noise uncertain properties and parameter uncertainties is presented. As in [1, 4, 6], the robust H∞ smoother for uncertain systems is developed as a combination...