Construction of Asymmetric Copulas and Its Application in Two-Dimensional Reliability Modelling

@article{Wu2014ConstructionOA,
  title={Construction of Asymmetric Copulas and Its Application in Two-Dimensional Reliability Modelling},
  author={Shaomin Wu},
  journal={Econometrics: Econometric Model Construction},
  year={2014}
}
  • Shaomin Wu
  • Published 2014
  • Mathematics, Computer Science
  • Econometrics: Econometric Model Construction
  • Copulas offer a useful tool in modelling the dependence among random variables. In the literature, most of the existing copulas are symmetric while data collected from the real world may exhibit asymmetric nature. This necessitates developing asymmetric copulas that can model such data. In the meantime, existing methods of modelling two-dimensional reliability data are not able to capture the tail dependence that exists between the pair of age and usage, which are the two dimensions designated… CONTINUE READING

    Topics from this paper.

    Construction of bivariate asymmetric copulas
    • 1
    • PDF
    A value-at-risk approach to optimisation of warranty policy
    • 12
    • PDF
    Optimal Two Dimensional Preventive Maintenance Policy Based on Asymmetric Copula Function
    • 2
    • PDF

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 28 REFERENCES
    Chapter 8 – Modelling Dependence with Copulas and Applications to Risk Management
    • 1,212
    • PDF
    Construction of asymmetric multivariate copulas
    • 162
    • PDF
    Analysis of field data under two-dimensional warranty
    • 62
    • Highly Influential
    An Introduction to Copulas
    • 6,449
    • Highly Influential
    • PDF
    New Families of Copulas Based on Periodic Functions
    • 34
    • PDF
    Methods for the estimation of failure distributions and rates from automobile warranty data
    • 122
    • PDF
    Copulas: A Personal View
    • 208
    • PDF
    Tail order and intermediate tail dependence of multivariate copulas
    • 94
    • PDF
    Crisis and risk dependencies
    • 22
    • PDF