另外一种做法就是利用均匀分布U(α，b),即 例2：简单Monte Carlo积分（续）计算 o-l erds 的Monte Carlo估计并和积分值相比较. TExample m<-10000 x <-runif(m,min=2,max=4) theta.hat <mean(exp(-x))*2 print(theta.hat) print (exp(-2)-exp(-4)) #[1]0.1172158 #[1]0.1170196 Previous Next First Last Back Forward 5, ò´â{“¥|^˛!©ŸU(a, b), = Z b a g(x)dx = (b − a) Z b a g(x) 1 b − a dx ~2: {¸Monte Carlo »©(Y) Oé θ = Z 4 2 e −x dx Monte CarloOø⁄»©äÉ'. ↑Example m <- 10000 x <- runif(m, min=2, max=4) theta.hat <- mean(exp(-x)) * 2 print(theta.hat) print(exp(-2) - exp(-4)) #[1] 0.1172158 #[1] 0.1170196 Previous Next First Last Back Forward 5