Question

a. If ? ̅1 is the mean of a random sample of size n from a...

a. If ? ̅1 is the mean of a random sample of size n from a normal population with mean ? and variance ?1 2 and ? ̅2 is the mean of a random sample of size n from a normal population with mean ? and variance ?2 2, and the two samples are independent, show that ?? ̅1 + (1 − ?)? ̅2 where 0 ≤ ? ≤ 1 is an unbiased estimator of ?.

b. Find the value of ? that makes the variance of the estimator a minimum.

c. Find the efficiency of the estimator in part (a), with ? = 1/2  relative to this estimator with ? equal to your answer from part (b).

d. Show that the estimator in (a) is consistent.

e. Is the estimator in part (a) a sufficient estimator of ?? (Show all work.)

Homework Answers

Answer #1

Please post the remaining questions in another post.

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 X be the mean of a random sample of size n from a N(θ, σ2)...
Let X be the mean of a random sample of size n from a N(θ, σ2) distribution, −∞ < θ < ∞, σ2 > 0. Assume that σ2 is known. Show that X 2 − σ2 n is an unbiased estimator of θ2 and find its efficiency.
Let Xl, n be a random sample from a gamma distribution with parameters a = 2...
Let Xl, n be a random sample from a gamma distribution with parameters a = 2 and p = 20.      a)         Find an estimator , using the method of maximum likelihood b) Is the estimator obtained in part a) is unbiased and consistent estimator for the parameter 0? c) Using the factorization theorem, show that the estimator found in part a) is a sufficient estimator of 0.
Use R. Generate a random sample with n=15 random observations from an exponential distribution with mean=1....
Use R. Generate a random sample with n=15 random observations from an exponential distribution with mean=1. Calculate the sample median, which is an estimator of the population median. Use bootstrap (nonparametric, with B=1000) methods to estimate the variance of the estimator for the population median. use the Monte Carlo method, e.g. generate 1000 samples of size 15 to estimate the true variance of the median estimator. Compare and comment on your results.
To show that an estimator can be consistent without being unbiased or even asymptotically unbiased, consider...
To show that an estimator can be consistent without being unbiased or even asymptotically unbiased, consider the following estimation procedure: To estimate the mean of a population with the finite variance σ2, we first take a random sample of size n. Then we randomly draw one of n slips of paper numbered from 1 through n, and if the number we draw is 2, 3,..., or n, we use as our estimator the mean of the random sample; otherwise, we...
Let Y1, Y2, …, Yndenote a random sample of size n from a population whose density...
Let Y1, Y2, …, Yndenote a random sample of size n from a population whose density is given by f(y) = 5y^4/theta^5 0<y<theta 0 otherwise a) Is an unbiased estimator of θ? b) Find the MSE of Y bar c) Find a function of that is an unbiased estimator of θ.
Let X1, X2, ..., Xn be a random sample (of size n) from U(0,θ). Let Yn...
Let X1, X2, ..., Xn be a random sample (of size n) from U(0,θ). Let Yn be the maximum of X1, X2, ..., Xn. (a) Give the pdf of Yn. (b) Find the mean of Yn. (c) One estimator of θ that has been proposed is Yn. You may note from your answer to part (b) that Yn is a biased estimator of θ. However, cYn is unbiased for some constant c. Determine c. (d) Find the variance of cYn,...
1. The breaking strengths (measured in dynes) of nylon fibers are normally distributed with a mean...
1. The breaking strengths (measured in dynes) of nylon fibers are normally distributed with a mean of 12,500 and a variance of 202,500. a) What is the probability that a fiber strength is more than 13,175? b) What is the probability that a fiber strength is less than 11,600? c) What is the probability that a fiber strength is between 12,284 and 15,200? d) What is the 90 th percentile of the fiber breaking strength? 2. Suppose that X, Y...
Suppose X1 is from a population with mean µ and variance 1 and X2 is from...
Suppose X1 is from a population with mean µ and variance 1 and X2 is from a population with mean µ and variance 4 (X1, X2 are independent). Construct an estimator of ? as ?̂=??1+(1−?)?2. Show that ?̂ is unbiased for ?. Find the most efficient estimator in this class, that is, find the value of a such that the estimator has the smallest variance.
Suppose X1 is from a population with mean µ and variance 1 and X2 is from...
Suppose X1 is from a population with mean µ and variance 1 and X2 is from a population with mean µ and variance 4 (X1, X2 are independent). Construct an estimator of ? as ?̂=??1+(1−?)?2. Show that ?̂ is unbiased for ?. Find the most efficient estimator in this class, that is, find the value of a such that the estimator has the smallest variance.
For a random sample of size n from a Beta(α,β) density, find a consistent estimator of...
For a random sample of size n from a Beta(α,β) density, find a consistent estimator of (α/β). Why is this estimator consistent?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT