Uncertainty identification by the maximum likelihood method

By J. Fonseca, Michael I. Friswell, J. Mottershead, A. Lees. 2005

134 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Civil and Structural Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/687e2b79cd6c3f73fe2cd6d20a2a7675287dcfe3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. H. H. Khodaparast

In Civil and Structural Engineering

1. J. Mottershead
2. H. H. Khodaparast
3. Ken J. Badcock
4. M. Link
5. Michael I. Friswell

In Statistics and Probability

1. J. Mottershead
2. H. H. Khodaparast
3. Ken J. Badcock
4. M. Link

Citations in the corpus

• Perturbation methods for the estimation of parameter variability in stochastic model updating (2008, unknown): “and by truncating after the first-order term, z 1⁄4 zðhÞ þ Sðh hÞ ) Dz 1⁄4 SDh (25) Therefore, z zðhÞ (26) Covðz; zÞ 1⁄4 SCovðh; hÞS (27) Covðh; zÞ 1⁄4 Covðh; hÞS (28) The perturbation propagation approach has been used widely for its tractability and computational time-saving [16].”
• Interval model updating with irreducible uncertainty using the Kriging predictor (2011, methodology): “[23] proposed an optimisation procedure for the purpose of stochastic model updating based on maximising a likelihood function and applied it to a cantilever beam with a point mass at an uncertain location.”