Asked by mike
Maximum likelihood estimation
The random variables X1,X2,…,Xn are continuous, independent, and distributed according to the Erlang PDF
fX(x)=[λ^3*x^2*e^(−λx)]/2, for x≥0,
where λ is an unknown parameter. Find the maximum likelihood estimate of λ, based on observed values x1,x2,…,xn . Express your answer as a function of n and s where s=x1+x2+…xn .
λ^ML=..?
The random variables X1,X2,…,Xn are continuous, independent, and distributed according to the Erlang PDF
fX(x)=[λ^3*x^2*e^(−λx)]/2, for x≥0,
where λ is an unknown parameter. Find the maximum likelihood estimate of λ, based on observed values x1,x2,…,xn . Express your answer as a function of n and s where s=x1+x2+…xn .
λ^ML=..?
Answers
Answered by
PointBreAk
Anyone has a clue about this?
Answered by
Skyfall
3*n/s
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