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International Journal of Computer Mathematics Volume 92, 2015 - Issue 9: New Computational and Statistical models in Science and Economics
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SECTION B

Sensitivity analysis and variance reduction in a stochastic non-destructive testing problem

R.H. De StaelenNumerical Analysis and Mathematical Modeling, Ghent University, Gent9000, BelgiumCorrespondence[email protected]
&
K. BeddekTHEMIS Dept., Électricité de France R&D, Clamart92141, France
Pages 1874-1882 | Received 27 Aug 2013, Accepted 28 Jan 2014, Published online: 02 Jun 2014

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L. Bayón & R. García-Rubio. (2015) New computational and statistical models in science and economics. International Journal of Computer Mathematics 92:9, pages 1729-1732.
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Articles from other publishers (2)

Jethro Nagawkar & Leifur Leifsson. (2021) Efficient Global Sensitivity Analysis of Model-Based Ultrasonic Nondestructive Testing Systems Using Machine Learning and Sobol’ Indices. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 4:4.
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Xiaosong Du, Leifur Leifsson, William Meeker, Praveen Gurrala, Jiming Song & Ronald Roberts. (2019) Efficient Model-Assisted Probability of Detection and Sensitivity Analysis for Ultrasonic Testing Simulations Using Stochastic Metamodeling. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 2:4.
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