Question

Suppose that we have a random sample X1, · · , Xn drawn from a distribution...

Suppose that we have a random sample X1, · · , Xn drawn from a distribution that only takes positive values. Suppose that the sample size n is sufficiently large. Consider the new random variable ∏ n i=1 Xi . Derive the distribution of this new random variable and explain your reasoning mathematically

Homework Answers

Answer #1

Let Z =

Let the probability distribution of be f(x), i = 1,2,...n.

Now, the distribution of Z is, f(Z) = f() = f() = f()f()....f() [As, , ,... are random sample, they are independent] = .

[As , ,...., are identical]

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
Suppose that we have a random sample X1, ** , Xn drawn from a distribution that...
Suppose that we have a random sample X1, ** , Xn drawn from a distribution that only takes positive values. Suppose that the sample size n is sufficiently large. Consider the new random variable ∏ n i=1 Xi . Derive the distribution of this new random variable and explain your reasoning mathematically
Suppose that (X1, X2, . . . , Xn) is a random sample from a very...
Suppose that (X1, X2, . . . , Xn) is a random sample from a very large population (population size N n). What is the probability distributions of the first observation X1?
Suppose that (X1, · · · , Xn) is a random sample from uniform distribution U(0,...
Suppose that (X1, · · · , Xn) is a random sample from uniform distribution U(0, θ). (a) Prove that T(X1, · · · , Xn) = X(n) is minimal sufficient for θ. (X(n) is the largest order statistic, i.e., X(n) = max{X1, · · · , Xn}.) (b) In addition, we assume θ ≥ 1. Find a minimal sufficient statistic for θ and justify your answer.
Suppose n numbers X1, X2, . . . , Xn are chosen from a uniform distribution...
Suppose n numbers X1, X2, . . . , Xn are chosen from a uniform distribution on [0, 10]. We say that there is an increase at i if Xi < Xi+1. Let I be the number of increases. Find E[I].
Let X1, X2, · · · , Xn be a random sample from an exponential distribution...
Let X1, X2, · · · , Xn be a random sample from an exponential distribution f(x) = (1/θ)e^(−x/θ) for x ≥ 0. Show that likelihood ratio test of H0 : θ = θ0 against H1 : θ ≠ θ0 is based on the statistic n∑i=1 Xi.
Let X1, . . . , Xn be a random sample from a Poisson distribution. (a)...
Let X1, . . . , Xn be a random sample from a Poisson distribution. (a) Prove that Pn i=1 Xi is a sufficient statistic for λ. (b) The MLE for λ in a Poisson distribution is X. Use this fact and the result of part (a) to argue that the MLE is also a sufficient statistic for λ.
Suppose that X1,..., Xn∼iid Geometric(p). (a) Suppose that p has a uniform prior distribution on the...
Suppose that X1,..., Xn∼iid Geometric(p). (a) Suppose that p has a uniform prior distribution on the interval [0,1]. What is the posterior distribution of p? For part (b), assume that we obtained a random sample of size 4 with ∑ni=1 xi = 4. (b) What is the posterior mean? Median?
Suppose X1, . . . , Xn are a random sample from a N(0, σ^2) distribution....
Suppose X1, . . . , Xn are a random sample from a N(0, σ^2) distribution. Find the MLE of σ^2 and show that it is an unbiased efficient estimator.
Suppose X1 ...... Xn is a random sample from the uniform distribution on [a; b]. (a)...
Suppose X1 ...... Xn is a random sample from the uniform distribution on [a; b]. (a) Find the method of moments estimators of a and b. (b) Find the maximum likelihood estimators of a and b. please step by step
Consider the sample x1, x2, ..., xn with sample mean x̅ and sample standard deviation s...
Consider the sample x1, x2, ..., xn with sample mean x̅ and sample standard deviation s .Let Zi = (xi - x̅ )/s, i = 1,2, ..., n. What are the values of the sample mean and sample standard deviation of zi ? Explain the answers with equations.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT