it should still be the sample mean
Just write the joint density, which is called the likelihood function
Then take the logarithm and differentiate (twice)
Hey guys, I'm having difficulty with this problem. I don't even really know how to start it, or what formulas to use.
Find the maximum likelihood estimate for the parameter mu of the normal distribution with known variance sigma^2 = sigma_0_^2
_0_ meaning subscript.
Any help on this problem would be greatly appreciated!