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Let \(x_1, x_2, …x_n\) be i.i.d. random variables that follow the Poisson distribution with parameter \(\lambda\), i.e. \(f(x;\lambda)=\dfrac{e^{-\lambda}\lambda^x}{x!}\).
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(10 points) Find the methods of moments estimator for \(E[x_i]=\lambda\).
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(10 points) Is this estimate unbiased? (show your work)
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(10 points) Write an
R
function that would yield Methods of moments estimate for sample mean of a random sample of iid Poisson variables.-
Argument: A vector of $X$ values
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Output: MM estimate of $E[x_i]=\lambda$
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- (5 points) Use your function and \(x\) defined below to calculate the MM estimate of \(\lambda\).
set.seed(1)
=rpois(100, 3.6) x