在 R 中找到 n 个泊松值的期望
Finding the expectation of n Poisson values in R
我写了下面的代码:
n <- 5
lambda <- 2
randomNumbers <- rpois(n, lambda)
prob <- dpois(randomNumbers, lambda)
到目前为止我的代码是否正确?
如何找到 5 个泊松值的期望值?
eX <- mean(randomNumbers)
或者,
weighted.mean(randomNumbers, prob)
n <- 5
lambda <- 2
randomNumbers <- rpois(n, lambda)
# estimate of P(X = 0), for example
mean(randomNumbers == 0)
# estimate of E[X]
mean(randomNumbers)
我写了下面的代码:
n <- 5
lambda <- 2
randomNumbers <- rpois(n, lambda)
prob <- dpois(randomNumbers, lambda)
到目前为止我的代码是否正确?
如何找到 5 个泊松值的期望值?
eX <- mean(randomNumbers)
或者,
weighted.mean(randomNumbers, prob)
n <- 5
lambda <- 2
randomNumbers <- rpois(n, lambda)
# estimate of P(X = 0), for example
mean(randomNumbers == 0)
# estimate of E[X]
mean(randomNumbers)