Question

Let X1, X2, . . . , Xn be iid exponential random variables with unknown mean...

Let X1, X2, . . . , Xn be iid exponential random variables with unknown mean β.

(1) Find the maximum likelihood estimator of β.

(2) Determine whether the maximum likelihood estimator is unbiased for β.

(3) Find the mean squared error of the maximum likelihood estimator of β.

(4) Find the Cramer-Rao lower bound for the variances of unbiased estimators of β.

(5) What is the UMVUE (uniformly minimum variance unbiased estimator) of β? What is your reason?

(6) Determine the asymptotic distribution of the maximum likelihood estimator of β as n → ∞.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let X1, X2, . . . Xn be iid exponential random variables with unknown mean β....
Let X1, X2, . . . Xn be iid exponential random variables with unknown mean β. Find the method of moments estimator of β
Let X1, X2, . . . , Xn be iid random variables with pdf f(x|θ) =...
Let X1, X2, . . . , Xn be iid random variables with pdf f(x|θ) = θx^(θ−1) , 0 < x < 1, θ > 0. Is there an unbiased estimator of some function γ(θ), whose variance attains the Cramer-Rao lower bound?
Let X1, X2, . . . Xn be iid random variables from a gamma distribution with...
Let X1, X2, . . . Xn be iid random variables from a gamma distribution with unknown α and unknown β. Find the method of moments estimators for α and β
Let X1, X2, . . . , Xn be iid following exponential distribution with parameter λ...
Let X1, X2, . . . , Xn be iid following exponential distribution with parameter λ whose pdf is f(x|λ) = λ^(−1) exp(− x/λ), x > 0, λ > 0. (a) With X(1) = min{X1, . . . , Xn}, find an unbiased estimator of λ, denoted it by λ(hat). (b) Use Lehmann-Shceffee to show that ∑ Xi/n is the UMVUE of λ. (c) By the definition of completeness of ∑ Xi or other tool(s), show that E(λ(hat) |  ∑ Xi)...
Suppose X1,..., Xn are iid with pdf f(x;θ) = 2x / θ2, 0 < x ≤...
Suppose X1,..., Xn are iid with pdf f(x;θ) = 2x / θ2, 0 < x ≤ θ. Find I(θ) and the Cramér-Rao lower bound for the variance of an unbiased estimator for θ.
Suppose that X1,...,Xn are iid N(μ,σ2) where μ is unknown but σ is known.  μ>=2. Let z(μ)=μ3....
Suppose that X1,...,Xn are iid N(μ,σ2) where μ is unknown but σ is known.  μ>=2. Let z(μ)=μ3. Find an initial unbiased estimator T for z(μ). Next, derive the Rao-Blackwellized version of T.
Let X1,…, Xn be a sample of iid Gamma(?, ?) random variables with ? known and...
Let X1,…, Xn be a sample of iid Gamma(?, ?) random variables with ? known and Θ=(0, ∞). Determine a) the MLE ? of ?. b) E(? ̂). c) Var(? ̂). e) whether or not ? is a UMVUE of ?.
X1, X2,...Xn are iid random variables from a U(0,b) distribution. Which estimator is an unbiased estimator...
X1, X2,...Xn are iid random variables from a U(0,b) distribution. Which estimator is an unbiased estimator for b? 2 X bar n X bar n 1/n (X1squared + X2squared +....Xnsquared) 1/n2(X1squared + X2squared +....Xnsquared)
Let X1, ..., Xn be a sample from an exponential population with parameter λ. (a) Find...
Let X1, ..., Xn be a sample from an exponential population with parameter λ. (a) Find the maximum likelihood estimator for λ. (NOT PI FUNCTION) (b) Is the estimator unbiased? (c) Is the estimator consistent?
A random sample X1, X2, . . . , Xn is drawn from a population with...
A random sample X1, X2, . . . , Xn is drawn from a population with pdf. f(x; β) = (3x^2)/(β^3) , 0 ≤ x ≤ β 0, otherwise (a) [6] Find the pdf of Yn, the nth order statistic of the sample. (b) [4] Find E[Yn]. (c) [4] Find Var[Yn]. (d)[3] Find the mean squared error of Yn when Yn is used as a point estimator for β (e) [2] Find an unbiased estimator for β.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT