Answer:

And then the maximum occurs when
, and that is only satisfied if and only if:

Step-by-step explanation:
For this case we have a random sample
where
where
is fixed. And we want to show that the maximum likehood estimator for
.
The first step is obtain the probability distribution function for the random variable X. For this case each
have the following density function:

The likehood function is given by:

Assuming independence between the random sample, and replacing the density function we have this:

Taking the natural log on btoh sides we got:

Now if we take the derivate respect
we will see this:

And then the maximum occurs when
, and that is only satisfied if and only if:

(-10= xy + z ) (-z)
(-10-z = xy ) (1/y)
-10/y - z/y = x
x = -(10+z)/y
Answer:
<h3>
(12, -1)</h3>
Step-by-step explanation:
Given T(x,y) = ( x + h, y + k) and the point P(5, 2), we are to find T (P) = (x + 7, y - 3)
It can be seen from the given data that T (P) = T (x, y), hence P = (x, y)
Given the coordinate P(5, 2), comparing with P(x, y), x =5 and y =2
Substituting x = 5 and y = 2 into the coordinates T (P) = (x + 7, y - 3)
T (P) = (5+7, 2-3)
T (P) = (12, -1)
Hence the coordinate T(P) = (12, -1)
46 fives. I hope I helped.