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The reliability assessment makes use of a polynomial metamodel of the responses as a function of the relevant random variables.
The physically relevant random field based uncertainty modelling approach with spatial correlation is adopted in this paper on the basis of Karhunen-Loève expansion.
We model the main geo-structural factors that influence trench stability and the key geometric and technological parameters that affect construction imperfections as relevant random variables.
Among the uncertainties, the elastic response pseudo-acceleration corresponding to the isolated period is assumed as the relevant random variable and, by means of the Latin Hypercube Sampling technique, the input data have been defined in order to develop 3D inelastic time-history analyses.
Hence, we will write the relevant random variables of the feature vector as and to represent the distributions of the feature value at and, respectively, for any, dropping the implicit index.
It assumes the independence of irrelevant alternatives; it does not consider the order (where relevant); random tastes (differences in β) cannot be represented; it assumes the utility functions of the alternatives are homoscedastic, and that all observations are independent.
Similar(48)
Additionally, various different types of false positive and false negative rates might be relevant: random-watermark false positives and negatives occur when a Work is fixed and the watermark is chosen at random.
If a particular study does not provide an estimate, the distribution of the parameter can be estimated using the relevant random-effects distribution as an implicit prior.
Furthermore, the inclusion of cantonal fixed effects is more relevant than random effects when considering the whole population, i.e. the 26 Swiss cantons.
When the heterogeneity hypothesis appeared relevant, the random-effect model was chosen.
When the heterogeneity hypothesis appeared relevant, the random-effect model with DerSimonian and Laird estimation method was preferred [ 47].
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