# Question: Rework Example 10 5 using the alternative formula for the information

Rework Example 10.5 using the alternative formula for the information given in Exercise 10.19.

Example 10.5

Show that is a minimum variance unbiased estimator of the mean µ of a normal population.

Example 10.5

Show that is a minimum variance unbiased estimator of the mean µ of a normal population.

**View Solution:**## Answer to relevant Questions

If 1 is the mean of a random sample of size n from a normal population with the mean µ and the variance σ21, 2 is the mean of a random sample of size n from a normal population with the mean µ and the variance σ22, and ...If X1 and X2 constitute a random sample of size n = 2 from an exponential population, find the efficiency of 2Y1 relative to , where Y1 is the first order statistic and 2Y1 and are both unbiased estimators of the ...If Θ1 = X/n , Θ2 = X + 1 / n+ 2 , and Θ3 = 1/3 are estimators of the parameter θ of a binomial population and θ = 1/2 , for what values of n is (a) The mean square error of Θ2 less than the variance of Θ1; (b) The ...If X1, X2, . . . , Xn constitute a random sample of size n from an exponential population, show that is a sufficient estimator of the parameter θ. Given a random sample of size n from a beta population with β = 1, use the method of moments to find a formula for estimating the parameter α.Post your question