# Question: Show that for the unbiased estimator of Example 10 4 n

Show that for the unbiased estimator of Example 10.4, n + 1 / n ∙ Yn, the Cramer-Rao inequality is not satisfied.

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The information about θ in a random sample of size n is also given by Where f (x) is the value of the population density at x, provided that the extremes of the region for which f(x) ≠ 0 do not depend on θ. The ...With reference to Exercise 10.23, find the efficiency of the estimator with ω = 1/2 relative to the estimator with ω = n1/ n1 + n2. Since the variances of the mean and the midrange are not affected if the same constant is added to each observation, we can determine these variances for random samples of size 3 from the uniform population By referring ...Substituting “asymptotically unbiased” for “ unbiased” in Theorem 10.3, use this theorem to rework Exercise 10.35. Show that the estimator of Exercise 10.5 is a sufficient estimator of the variance of a normal population with the known mean µ. Exercise 10.5 Show that is a minimum variance unbiased estimator of the mean µ of a normal ...Post your question