Question

A sample of n observations is collected from a continuous distribution with
density f(x) = λ
2 x e−λ x for x > 0.
(a) Find the estimate of λ using the maximum likelihood method.

Answer 1

Step-by-step explanation:

We choose the parameter for the density that maximizes the probability of the data coming from it. ... When there are actual data, the estimate takes a particular numerical value, which will be the maximum likelihood estimator. MLE requires us to maximum the likelihood function L(θ) with respect to the unknown parameter θ.

Answer 2

Answer:

hi, gud mrng

have a nice day...

Step-by-step explanation:

Definition: Given data the maximum likelihood estimate (MLE) for the parameter p is the value of p that maximizes the likelihood P(data |p). That is, the MLE is the value of p for which the data is most likely. 100 P(55 heads|p) = ( 55 ) p55(1 − p)45.

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