TY  - GEN
N2  - This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).
AB  - This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).
T1  - Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling :Uncertainties 2020 /
AU  - Cursi, Eduardo Souza de.
CN  - TA169.7
N1  - Includes author index.
ID  - 1431805
KW  - Stochastic models
KW  - Uncertainty (Information theory)
KW  - Numerical analysis
KW  - Mechanical engineering
KW  - Modèles stochastiques
KW  - Incertitude (Théorie de l'information)
KW  - Génie mécanique
SN  - 9783030536695
SN  - 3030536696
TI  - Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling :Uncertainties 2020 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-53669-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-53669-5
ER  -