Mixture of Bivariate Exponential Distributions

JOURNAL ARTICLE published 29 July 2010 in Communications in Statistics - Theory and Methods

Authors: Norou Diawara | Mark Carpenter

A nonparametric symmetry test for absolutely continuous bivariate copulas

JOURNAL ARTICLE published November 2010 in Statistical Methods & Applications

Authors: Arturo Erdely | José M. González-Barrios

A Convergent Iterative Procedure for Constructing Bivariate Distributions

JOURNAL ARTICLE published 4 March 2010 in Communications in Statistics - Theory and Methods

Authors: Sedigheh Shams

CoVaR of families of copulas

JOURNAL ARTICLE published January 2017 in Statistics & Probability Letters

Research funded by National Science Centre, Poland (2015/17/B/HS4/00911)

Authors: M. Bernardi | F. Durante | P. Jaworski

Developing a Wide Easy-to-Generate Class of Bivariate Copulas

JOURNAL ARTICLE published 28 April 2008 in Communications in Statistics - Theory and Methods

Authors: Navid Izady | Hashem Mahlooji

Bivariate Aging Properties under Archimedean Dependence Structures

JOURNAL ARTICLE published 17 August 2010 in Communications in Statistics - Theory and Methods

Authors: Julio Mulero | Franco Pellerey

Further Results for a General Family of Bivariate Copulas

JOURNAL ARTICLE published 3 August 2015 in Communications in Statistics - Theory and Methods

Authors: S. Izadkhah | H. Ahmadzade | M. Amini

Invariant dependence structures and Archimedean copulas

JOURNAL ARTICLE published December 2011 in Statistics & Probability Letters

Authors: Fabrizio Durante | Piotr Jaworski | Radko Mesiar

Copulas Constructed from Horizontal Sections

JOURNAL ARTICLE published 27 November 2007 in Communications in Statistics - Theory and Methods

Authors: Erich Peter Klement | Anna Kolesárová | Radko Mesiar | Carlo Sempi

Shuffle of min’s random variable approximations of bivariate copulas’ realization

JOURNAL ARTICLE published 19 May 2018 in Communications in Statistics - Theory and Methods

Research funded by National Natural Science Foundation of China (11131002) | National Natural Science Foundation of China (11201012) | National Natural Science Foundation of China (11271033) | NSF grant DMS (1208952)

Authors: Yanting Zheng | Jingping Yang | Jianhua Z. Huang

A bivariate extension of the beta generated distribution derived from copulas

JOURNAL ARTICLE published 4 March 2019 in Communications in Statistics - Theory and Methods

Authors: Ranadeera G. M. Samanthi | Jungsywan Sepanski

Discrete bivariate weighted distributions under multiplicative weight function

JOURNAL ARTICLE published 1995 in Communications in Statistics - Theory and Methods

Authors: Subrahmaniam Kocherlakota

Construction of bivariate symmetric and asymmetric copulas and its relationship to ratios of conditional hazard rate functions

JOURNAL ARTICLE published 7 June 2023 in Communications in Statistics - Theory and Methods

Authors: Jan W. H. Swanepoel

Bivariate Continuous Distributions with Specified Conditional Hazard Functions

JOURNAL ARTICLE published 19 July 2010 in Communications in Statistics - Theory and Methods

Authors: N. Balakrishnan | Enrique Castillo | José María Sarabia

Bivariate copulas generated by perturbations

JOURNAL ARTICLE published October 2013 in Fuzzy Sets and Systems

Authors: Fabrizio Durante | Juan Fernández Sánchez | Manuel Úbeda Flores

Nonparametric Estimators of the Bivariate Survival Function Under Left Truncation and Right Censoring

JOURNAL ARTICLE published 11 August 2010 in Communications in Statistics - Theory and Methods

Authors: Pao-Sheng Shen

Tail Behaviour of Copulas

BOOK CHAPTER published 2010 in Copula Theory and Its Applications

Authors: Piotr Jaworski

Multivariate design via Copulas

POSTED CONTENT published

Authors: G. Salvadori | C. De Michele | F. Durante

On Extreme Value Copulas with Given Concordance Measures

BOOK CHAPTER published 2019 in New Trends in Aggregation Theory

Authors: Piotr Jaworski

A further note on the bivariate normal distribution

JOURNAL ARTICLE published 1980 in Communications in Statistics - Theory and Methods

Authors: D.A.S. Fraser | F. Streit