Reja K. answered 01/06/24
Post doc researcher in statistics, ex statistics TA of MSU
Sample Mean (x̄) = E(Y) Sample Variance (s^2) = Var(Y)
Once you have x̄ and s^2 from your observed data, you can solve for parameter β.
Panda V.
asked 11/19/23Let y1, . . . , yn be a random sample of n observations from a random variable Y with f(y) a gamma density with
α = 2 and unknown β:
f(y) =
( (ye^(−y/β))/β^2 for y > 0
0 else
(a) Find the moment estimator of β
(b) Find E(β hat) and Var(β hat)
Reja K. answered 01/06/24
Post doc researcher in statistics, ex statistics TA of MSU
Sample Mean (x̄) = E(Y) Sample Variance (s^2) = Var(Y)
Once you have x̄ and s^2 from your observed data, you can solve for parameter β.
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