m<-100000 ucls<-numeric(m) for(i in 1:m){ x <-rnorm(n,mean=0,sd=2) ucls[i]<-(n-1)*var(x)/gchisq(alpha,df=n-1) ind<-ucls>4 cov.rate<-cumsum(ind)/1:m plot(2:m,cov.rate[-1],type="1") abline(h=0.95) Code 经验的置信水平是通过模拟，对理论的置信水平进行估计，其一股做法如下 Previous Next First Last Back Forward 12m<-100000 ucls<-numeric(m) for(i in 1:m){ x <- rnorm(n, mean=0, sd=2) ucls[i] <- (n-1) * var(x) / qchisq(alpha, df=n-1) } ind<-ucls>4 cov.rate<-cumsum(ind)/1:m plot(2:m,cov.rate[-1],type="l") abline(h=0.95) ↓Code ²ò&Y²¥œL[, Ènÿò&Y²?1O. ŸòÑâ{Xe Previous Next First Last Back Forward 12