A new one parameter family of Archimedean copula and its extensions / Azam Pirmoradian
In order to characterize the dependence of extreme risk, the concept of tail dependence for bivariate distribution functions was introduced. The Gaussian copula, for example, does not have upper or lower tail dependence - it shows asymptotic independence regardless of the correlation that may exist...
Saved in:
Main Author: | Pirmoradian, Azam |
---|---|
Format: | Thesis |
Published: |
2013
|
Subjects: | |
Online Access: | http://studentsrepo.um.edu.my/4389/1/Thesis_AZAM_PIRMORADIAN.pdf http://studentsrepo.um.edu.my/4389/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multivariate extension of Raftery copula
by: Saali, Tariq, et al.
Published: (2023) -
On non-Archimedean recurrence equations and their applications
by: Mukhamedov, Farrukh, et al.
Published: (2015) -
On metric properties of unconventional limit sets of contractive non-Archimedean dynamical systems
by: Mukhamedov, Farrukh M., et al.
Published: (2016) -
Parameter estimations and copula methods for burr type III and type XII distributions
by: Ismail, Nor Hidayah
Published: (2014) -
Recurrence equations over trees in a non-Archimedean context
by: Mukhamedov, Farrukh
Published: (2014)