FE2: FE2

In fgac: Generalized Archimedean Copula

Description

Bidimensional empirical cumulative distribution

Usage

FE2(u, v, x, y)

Arguments

u	real vector
v	real vector
x	real value (can be some component of u)
y	real value (can be some component of v)

Details

FE2(u,v,x,y)=\frac{1}{n}∑_{i=1}^{n}I_{(u_i≤q x)}I_{(v_i≤q y)},\,\,\,\,\, u=(u_1,\cdots,u_n),\,v=(v_1,\cdots,v_n)

Value

Bidimensional empirical cumulative distribution from (u,v) sample, evaluated in the point (x,y)

Author(s)

Veronica Andrea Gonzalez-Lopez

See Also

SOB2, FE1vector

Examples

#u<-matrix(c(1,3,5,1,6),nrow=5,ncol=1)
#FE2(u,u,6.5,3)
#u<-matrix(c(1:15),nrow=15,ncol=1)
#v<-matrix(c(16:30),nrow=15,ncol=1)
#FE2(u,v,5,35)

fgac documentation built on May 2, 2019, 6:07 a.m.