Variance of unbiased estimator

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Let $Y_1,Y_2,...,Y_N$ be a random sample from a distribution with probability density function $f_Y(y,\theta) = 2y/\theta^2$ if $0<y<\theta$ and $0$ otherwise.

(a) Show that $W = 3\bar{Y}/2$ is an unbiased estimator of $\theta$. (I think I got this one by getting the expectation of Y)

(b) What is the variance of W? (I am not quite sure how to work in this)

Thank you very much.

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You can get the variance of $W$ from the variance of $Y$, and using the formulas that if $U$ and $V$ are independent random variables, and $\alpha$ is a constant, then $\text{Var}(U+V) = \text{Var}(U) + \text{Var}(V)$, and $\text{Var}(\alpha U) = \alpha^2 \text{Var}(U)$.