Suppose that x_(1),x_(2),dots,x_(n) are i.i.d. N( mu , sigma ^(2)). a. If mu is known, what is the mle of sigma ? b. If sigma is known, what is the mle of mu ? c. In the case above ( sigma known), does any other unbiased estimate of mu have smaller variance?

Question

Suppose that x_(1),x_(2),dots,x_(n) are i.i.d. N( mu , sigma ^(2)). a. If  mu  is known, what is the mle of  sigma  ? b. If  sigma  is known, what is the mle of  mu  ? c. In the case above (  sigma  known), does any other unbiased estimate of  mu  have smaller variance?

Accepted Answer

Expert Answer to -  Suppose that x_(1),x_(2),dots,x_(n) are i.i.d. N( mu , sigma ^(2)). a. If  mu  is known, what is th

Answer

Solution for -  Suppose that x_(1),x_(2),dots,x_(n) are i.i.d. N( mu , sigma ^(2)). a. If  mu  is known, what is th

Answer

This an additional answer to -  Suppose that x_(1),x_(2),dots,x_(n) are i.i.d. N( mu , sigma ^(2)). a. If  mu  is known, what is th

(Solved): Suppose that x_(1),x_(2),dots,x_(n) are i.i.d. N(\mu ,\sigma ^(2)). a. If \mu is known, what is th ...

View Expert Answer

Expert Answer

Buy This Answer $5

Place Order

We Provide Services Across The Globe