Results 71 to 80 of about 2,228 (161)

Multivariate dependence modeling using copulas [PDF]

There exist necessary and sufficient conditions on the generating functions of the FGM family, in order to obtain various dependence properties. We present multivariate generalizations of this class studying symmetry and dependence concepts, measuring ...
Maddalena Manzi, Marta Cardin
core  

A stability property of Farlie-Gumbel-Morgenstern distributions

, 2013
A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important parametric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family.
Stoica, Emil
core  

Extensions of Farlie-Gumbel-Morgenstern distributions: A review

, 2013
A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important parametric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family.
Stoica, Emil
core  

Qualitative Assessment of Demand Side Constraints to Access Maternal and Child Health Services

, 2019
The objective of this research is to identify the main social and cultural constraints in accessing reproductive, maternal, newborn and child health Services (RMNCHS) in Guinea-Bissau, to effectively improve
World Bank
core   +1 more source

Convex sums of Farlie-Gumbel-Morgenstern distributions

, 2013
A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important parametric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family.
Stoica, Emil
core  

Prevalence of female genital mutilation and associated factors among women and girls in Africa: a systematic review and meta-analysis

Systematic Reviews
Background Female genital mutilation (FGM) has zero health benefits. It can lead to short- and long-term risks and complications, including physical, sexual, and mental health and well-being of girls and women.
Asteray Assmie Ayenew, Ben W. Mol, Billie Bradford, Gedefaw Abeje   +3 more
doaj   +1 more source

An extension of FGM distributions based on an univariate function

, 2017
A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important para-metric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family. In practical applications this copula has
Stoica, Emil
core   +1 more source

The unbroken chain of female genital mutilation: a qualitative assessment of high school girls’ perspectives

BMC Women's Health
Background Female Genital Mutilation (FGM) is defined as any procedure that involves damage to the female external genitalia. This practice is majorly prevalent in Sudan, as it is estimated that over 12 million Sudanese women are circumcised.
Lina Hemmeda, Lena Anwer, Marwa Abbas, Lina Elfaki, Maram Omer, Maab Khalid, Mushrega Hassan, Mihrab Mostafa, Lina Hamza, Maab Mahmoud, Maram Mohamed Osman, Mozan Mohamed, Lamees Bakheet, Alaa T. Omer   +13 more
doaj   +1 more source

Farlie-Gumbel-Morgenstern Family: Equivalence of Uncorrelation and Independence

, 2017
Considering the characteristics of the bivariate normal distribution, in which uncorrelation of two random variables is equivalent to their independence, it is interesting to verify this problem in other distributions.
Vali, F., Barmalzan, G.
core   +1 more source

A non symmetric extension of Amblard-Girard copulas

, 2014
A copula is a function that completely describes the dependence structure between the marginal distributions. One of the most important parametric family of copulas is the Farlie-Gumbel-Morgenstern (FGM) family.
Stoica, Emil
core