Description Usage Arguments Author(s) Examples
View source: R/triangular_moments_3_U.R
Compute the negatives moments (different from orders 1 and 2) of the fitted triangular distribution of the random variable "capitalization factor" U.
1  | 
data | 
 A vector X of interest rates.  | 
order | 
 The order of moment that should be computed.  | 
Salvador Cruz Rambaud, Fabrizio Maturo, Ana MarÃa Sánchez Pérez
1 2 3 4 5 6 7 8 9 10 11 12 13  | #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_3_U(data,3)
triangular_moments_3_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)  #except first and second
for (i in 3:10) first10negmoments[i]=triangular_moments_3_U(data,i)
first10negmoments
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.