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claim_model_2.R
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##actuarパッケージの読み込み | |
library(actuar) | |
##パンジャーの再帰式でクレーム総額分布を求める | |
#まずクレーム額分布(平均10の指数分布)を離散化 | |
fx=discretize(pgamma(x,1,0.1),from=0, to=500,step=0.25,method="unbiased",lev=levgamma(x,1,0.1)) | |
fx0=fx[1] | |
fs=rep(0,2001) | |
fs[1]=0.1 | |
fs[2]=0.9*(fx[2]*fs[1])/(1-0.9*fx0) | |
fs[3]=0.9*(fx[3]*fs[1]+fx[2]*fs[2])/(1-0.9*fx0) | |
for(i in 2:2001){ | |
k=rep(0,2001) | |
for(j in 2:i){ | |
k[j]=fx[j]*fs[i-j+1] | |
} | |
fs[i]=sum(k)*0.9/(1-0.9*fx0) | |
} | |
T=seq(0, 500, by = 0.25) | |
FFs=cumsum(fs) | |
plot(T,FFs,xlim=c(0,500),ylim=c(0,1),col=1,type="l") | |
#理論値を赤線で書く | |
curve(1-0.9*exp(-0.01*x),0,500,add=TRUE,col=2) |
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