(c) Let 7 denote the population median. Obtain the MLE of T. (Hint: First find the specific form of the median in terms of A and utilize the invariance property of MLE) (d) Is it easy to study the finite-sample distributional property of the MLE Â. such as E(X).

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Chapter1: Combinatorial Analysis
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2. Suppose that X₁,..., Xn form a random sample from a Exponential(\) distribution, with PDF
given by
f(x|λ) = Ae¯λx for x > 0, λ > 0.
In the above form, À is a rate parameter and E(X) = 1/λ and var(X) = 1/λ².
(a) Find a MOM (method of moment) estimator à of X.
(b) Write down the likelihood function Ln (A) and obtain the maximum likelihood estimator
(MLE) Â of A.
(c) Let 7 denote the population median. Obtain the MLE of T. (Hint: First find the specific
form of the median in terms of λ and utilize the invariance property of MLE)
(d) Is it easy to study the finite-sample distributional property of the MLE Â, such as E(Â),
var(Â), the mean square error (MSE) in estimating \, and its exact sampling distribution?
(e) Compute the Fisher information In in the sample data. Accordingly, obtain the asymp-
totic distribution of Â.
(f) Obtain a sufficient statistic T(X₁,..., X₂) for À via the factorization theorem. Verify that
the MLE Â is a function of T.
Transcribed Image Text:2. Suppose that X₁,..., Xn form a random sample from a Exponential(\) distribution, with PDF given by f(x|λ) = Ae¯λx for x > 0, λ > 0. In the above form, À is a rate parameter and E(X) = 1/λ and var(X) = 1/λ². (a) Find a MOM (method of moment) estimator à of X. (b) Write down the likelihood function Ln (A) and obtain the maximum likelihood estimator (MLE)  of A. (c) Let 7 denote the population median. Obtain the MLE of T. (Hint: First find the specific form of the median in terms of λ and utilize the invariance property of MLE) (d) Is it easy to study the finite-sample distributional property of the MLE Â, such as E(Â), var(Â), the mean square error (MSE) in estimating \, and its exact sampling distribution? (e) Compute the Fisher information In in the sample data. Accordingly, obtain the asymp- totic distribution of Â. (f) Obtain a sufficient statistic T(X₁,..., X₂) for À via the factorization theorem. Verify that the MLE  is a function of T.
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