Nothing
variance_drv = function(data, years = 10) {
n = years
U = 1 + data
u = mean(U)
u2 = moment(U,
central = FALSE,
absolute = FALSE,
order = 2)
app1 = rep(NA, n - 1)
for (i in 1:(n - 1)) app1[i]=moment(U,
central = FALSE,
absolute = FALSE,
order = 2*i)
p1 = sum(app1)
app2 = matrix(NA, n,n)
# for (r in 1:nrow(app2)) for (s in 1:ncol(app2)) app2[r,s]=sum(r+s)
for (r in 1:nrow(app2)) for (s in 1:ncol(app2)) app2[r,s]=moment(U,
central = FALSE,
absolute = FALSE,
order = sum(r+s))
for (r in 1:nrow(app2)) for (s in 1:ncol(app2)) if (s<=r) app2[r,s]=0
app2[,n]=0
p2 = 2*sum(app2)
app3=rep(NA, n - 1)
for (i in 1:(n - 1)) app3[i]=moment(U,
central = FALSE,
absolute = FALSE,
order = i)
p3 =(sum(app3))^2
p4 =moment(U,
central = FALSE,
absolute = FALSE,
order = 2*n)
un=moment(U,
central = FALSE,
absolute = FALSE,
order = n)
p5=un^2
# vettore di appoggio per momenti da n+1 ad 2n-1
app6=rep(NA,(2*n)-(n+1))
# length(app6)
for (i in 1:length(app6)) app6[i]=moment(U,
central = FALSE,
absolute = FALSE,
order = n+i)
p6=2*sum(app6)
# vettore di appoggio per momenti da 1 ad n-1
app7=rep(NA,n-1)
for (i in 1:length(app7)) app7[i]=moment(U,
central = FALSE,
absolute = FALSE,
order = i)
p7=2*un*sum(app7)
var=p1+p2-p3+p4-p5+p6-p7
return(var)
}
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