POINT-ESTIMATE METHOD AS NUMERICAL QUADRATURE
By J. Christian, G. Baecher. 2001
111 citations recorded by the source corpus.
Subfields: Mechanics of Materials, Safety, Risk, Reliability and Quality, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/aef935c75bfb5750013368e6077d847a96ae8eb1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanics of Materials
In Safety, Risk, Reliability and Quality
In Statistics and Probability
Citations in the corpus
- The point‐estimate method with large numbers of variables (2002, unknown): “Miller and Rice [4] and Christian and Baecher [5] have shown that the point-estimate method is a form of Gaussian quadrature.”
- Probabilistic analyses of a strip footing on horizontally stratified sandy deposit using advanced constitutive model (2011, methodology): “Transformation Y = g(X) can be used to calculate the associated discrete distribution of the performance functions, whose moments approximate the moments of Y in the continuous case [8].”
- Comparison of different probabilistic methods for predicting stability of a slope in spatially variable c–φ soil (2010, methodology): “Typically, approximate analytical solutions based on Taylor series expansion [7] or point estimate methods [4] are used.”