6. Probabilistic method based on metamodels for reliability assessment
Uncertainty analysis is performed to describe the range of possible outputs as a function of the uncertainty (variations) of the inputs, and to study the effect of lack of knowledge or model errors. As mentioned above, Monte Carlo simulation (MCS), classified as a probabilistic method, is widely used for uncertainty analysis.
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Probabilistic method based on metamodels for reliability assessment
Application to a chip-scale package (CSP)
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