triangular_moments_dis_U {AnnuityRIR} | R Documentation |
Compute the negative
moments of the fitted triangular distribution of the
random variable "capitalization factor"
according to the definition (as integral).
Description
Compute the negative
moments of the fitted triangular distribution of the
random variable "capitalization factor" according to the definition (as integral).
Usage
triangular_moments_dis_U(data,order)
Arguments
data |
A vector of interest rates as percentage. |
order |
The order of moment of the triangular distribution |
Author(s)
Salvador Cruz Rambaud, Fabrizio Maturo, Ana María Sánchez Pérez
Examples
# example 1
data=c(1.77,1.85,1.85,1.84,1.84,1.83,1.85,1.85,1.88,1.85,1.80,1.84,1.91,1.85,1.84,1.85,
1.86,1.85,1.88,1.86)
triangular_moments_dis_U(data,1)
triangular_moments_dis_U(data,2)
triangular_moments_dis_U(data,3)
triangular_moments_dis_U(data,4)
# example 2 - first 10 negative moments of fitted triangular distribution
#(an example from normal distributed simulated data)
data<-rnorm(n=200,m=0.75,sd=0.2)
triangular_parameters(data)
first10negmoments=rep(NA,10)
for (i in 1:10) first10negmoments[i]=triangular_moments_dis_U(data,i)
first10negmoments
[Package AnnuityRIR version 1.0-0 Index]