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Quantitative Analysis of the Economic Risk of Sugarcane Cultivation for Bioethanol Production: A Case Study in Brazil
(North Carolina State Univ Dept Wood & Paper Sci, 2018-01-01)
The management of variables with uncertainties in stochastic cash flow models related to capital investments in energy crops projects allows, in addition to risk measurement, the adoption of proactive measures that can ...
Modelling and uncertainties characterization for robust control
(Elsevier, 2013-03)
In this work, multi-input multi-output (MIMO) process identification is studied, where the model identification is dedicated to the control design goal. An ad hoc identification procedure is presented which allows estimating ...
SOURCES OF UNCERTAINTY FOR CONDUCTING MONETARY POLICY IN CHILE
(BANCO CENTRAL CHILE, 2008-12)
his m paper m analyzes m the m quantitative m relevance m of m additive, m ultiplicative m and m data
uncertainty in the implementation of Chile’s monetary policy. For the analysis of data
uncertainty we focus on the ...
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The ...
Petroleum reservoir uncertainty mitigation through the integration with production history matching
(Associação Brasileira de Engenharia e Ciências Mecânicas - ABCM, 2011)
Coverage intervals according to MARLAP, Bayesian statistics and the new ISO 11929 for ionising radiation measurements
(PERGAMON-ELSEVIER SCIENCE LTD, 2012)
The coverage intervals stipulated by ISO 11929 (2010) for estimating the uncertainty from ionising radiation measurements of replicate samples are compared with those of MARLAP (= Multi-Agency Radiological Laboratory ...
Dealing with Uncertainty in Polymer Manufacturing by Using Linear Regression Metrics and Sensitivity Analysis
(Elsevier, 2009-12)
In the polymers industry, models are heavily parameterizised, and the effect of each parameter on model outputs has not been extensively studied. A wide range of values for most of model's parameters can be found in ...