Bivariate distribution models using copulas for reliability analysis

74 citations recorded by the source corpus.

How researchers see this paper

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

Copula-based approaches for evaluating slope reliability under incomplete probability information (2015, unknown): “The copula theory provides a general and flexible way for modeling nonlinear dependence among multivariate data in isolation from their marginal probability distributions [11,33,34,14,39].”
Characterization of uncertainty in probabilistic model using bootstrap method and its application to reliability of piles (2015, background): “, [10,11]) has been received increasing attention in geotechnical engineering for constructing the joint CDF or PDF of multivariate data, particularly bivariate data [12–19].”
Impact of copulas for modeling bivariate distributions on system reliability (2013, background): “[ 10 , 11 ] studied the effect of copulas for modeling the bivariate distributions on component reliability.”