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( ) (9) If you have a random sample of size n from a Normal(6,6 density, write down two different unbiased estimators of«', both of which utilize the entire sample. Then compute the relative...
don't answer this question, It was a manipulation error. That is the correct question I want answer for (5) For a random sample of size n from a Uniform (0, 5+ ple of size n from a Uniform...
don't answer this question, It was a manipulation
error. That is the correct question I want answer for
(5) For a random sample of size n from a Uniform (0, 5+ ple of size n from a Uniform ( θ, 5+8) population, write estimators of o (both of which f which use the entire sample). Call them 0 and o Compute the relative efficiency of with respect estimator is obvious. For the other one, ry relating this denst ] [5)...
QUESTION 6 Let Y., Y. , Yn denote a random sample of size n from a...
QUESTION 6 Let Y., Y. , Yn denote a random sample of size n from a population whose density is given by , Yn) and θ2 = Ỹ. Two estimators for θ are θ,-nY(1) where Y(1)-min (h, ½, (a) Show that θ1 and θ2 are both unbiased estimators of θ (b) Find the efficiency ofa relative to θ2.
QUESTION 6 Let Y., Y. , Yn denote a random sample of size n from a...
QUESTION 6 Let Y., Y. , Yn denote a random sample of size n from a population whose density is given by , Yn) and θ2 = Ỹ. Two estimators for θ are θ,-nY(1) where Y(1)-min (h, ½, (a) Show that θ1 and θ2 are both unbiased estimators of θ (b) Find the efficiency ofa relative to θ2.
8. Let X1,...,Xn denote a random sample of size n from an exponential distribution with density function given by, 1 -x...
8. Let X1,...,Xn denote a random sample of size n from an exponential distribution with density function given by, 1 -x/0 -e fx(x) MSE(1). Hint: What is the (a) Show that distribution of Y/1)? nY1 is an unbiased estimator for 0 and find (b) Show that 02 = Yn is an unbiased estimator for 0 and find MSE(O2). (c) Find the efficiency of 01 relative to 02. Which estimate is "better" (i.e. more efficient)?
8. Let X1,...,Xn denote a random...
Suppose you have a random sample {X1, X2, X3} of size n = 3. Consider the following three possible estimators for the p...
Suppose you have a random sample {X1, X2, X3} of size n = 3. Consider the following three possible estimators for the population mean u and variance o2 Дi 3D (X1+ X2+ X3)/3 Ti2X1/4 X2/2 X3/4 Дз — (Х+ X,+ X3)/4 (a) What is the bias associated with each estimator? (b) What is the variance associated with each estimator? (c) Does the fact that Var(i3) < Var(1) contradict the statement that X is the minimum variance unbiased estimator? Why or...
3. You have two independent random samples: XiXX from a population with mean In and variance σ2 a...
3. You have two independent random samples: XiXX from a population with mean In and variance σ2 and Y, Y2, , , , , Y,n from a population with mean μ2 and variance σ2. Note that the two populations share a common variance. The two sample variances are Si for the first sample and Si for the second. We know that each of these is an unbiased estimator of the common population variance σ2, we also know that both of...
Suppose X1, X2, . . . , Xn are a random sample from a Uniform(0, θ) distribution, where θ > 0. Consider two different...
Suppose X1, X2, . . . , Xn are a random sample from a Uniform(0, θ) distribution, where θ > 0. Consider two different estimators of θ: R1 = 2X¯ R2 =(n + 1)/n max(X1, . . . , Xn) (a) For each of the estimators R1 and R2, assess whether it is an unbiased estimator of θ. (b) Compute the variances of R1 and R2. Under what conditions will R2 have a smaller variance than R1?
QUESTION 2 Let Xi.. Xn be a random sample from a N (μ, σ 2) distribution,...
QUESTION 2 Let Xi.. Xn be a random sample from a N (μ, σ 2) distribution, and let S2 and Š-n--S2 be two estimators of σ2. Given: E (S2) σ 2 and V (S2) - ya-X)2 n-l -σ (a) Determine: E S2): (l) V (S2); and (il) MSE (S) (b) Which of s2 and S2 has a larger mean square error? (c) Suppose thatnis an estimator of e based on a random sample of size n. Another equivalent definition of...
15. Multiple Choice Question Consider two independent normal populations. A random sample of size n =...
15. Multiple Choice Question Consider two independent normal populations. A random sample of size n = 16 is selected from the first normal population with mean 75 and variance 288. A second random sample of size m - 9 is selected from the second normal population with mean 80 and variance 162. Assume that the random samples are independent. Let X, and X, be the respective sample means. Find the probability that X1 + X, is larger than 156.5. A....
PROBLEM 1: Assume you have a random sample of Y's of size n from the model...
PROBLEM 1: Assume you have a random sample of Y's of size n from the model Y = Bote where Bo is an unknown parameter and the error e has zero mean and variance o2. (i) What is the interpretation of B.? (ii) Compute the OLS estimator of Bo. (ii) Find the mean and variance of the OLS estimator. (iii) What is the coefficient of determination in this model?
don't answer this question, It was a manipulation
error. That is the correct question I want answer for
(5) For a random sample of size n from a Uniform (0, 5+ ple of size n from a Uniform ( θ, 5+8) population, write estimators of o (both of which f which use the entire sample). Call them 0 and o Compute the relative efficiency of with respect estimator is obvious. For the other one, ry relating this denst ] [5)...
QUESTION 6 Let Y., Y. , Yn denote a random sample of size n from a population whose density is given by , Yn) and θ2 = Ỹ. Two estimators for θ are θ,-nY(1) where Y(1)-min (h, ½, (a) Show that θ1 and θ2 are both unbiased estimators of θ (b) Find the efficiency ofa relative to θ2.
QUESTION 6 Let Y., Y. , Yn denote a random sample of size n from a population whose density is given by , Yn) and θ2 = Ỹ. Two estimators for θ are θ,-nY(1) where Y(1)-min (h, ½, (a) Show that θ1 and θ2 are both unbiased estimators of θ (b) Find the efficiency ofa relative to θ2.
8. Let X1,...,Xn denote a random sample of size n from an exponential distribution with density function given by, 1 -x/0 -e fx(x) MSE(1). Hint: What is the (a) Show that distribution of Y/1)? nY1 is an unbiased estimator for 0 and find (b) Show that 02 = Yn is an unbiased estimator for 0 and find MSE(O2). (c) Find the efficiency of 01 relative to 02. Which estimate is "better" (i.e. more efficient)?
8. Let X1,...,Xn denote a random...
Suppose you have a random sample {X1, X2, X3} of size n = 3. Consider the following three possible estimators for the population mean u and variance o2 Дi 3D (X1+ X2+ X3)/3 Ti2X1/4 X2/2 X3/4 Дз — (Х+ X,+ X3)/4 (a) What is the bias associated with each estimator? (b) What is the variance associated with each estimator? (c) Does the fact that Var(i3) < Var(1) contradict the statement that X is the minimum variance unbiased estimator? Why or...
3. You have two independent random samples: XiXX from a population with mean In and variance σ2 and Y, Y2, , , , , Y,n from a population with mean μ2 and variance σ2. Note that the two populations share a common variance. The two sample variances are Si for the first sample and Si for the second. We know that each of these is an unbiased estimator of the common population variance σ2, we also know that both of...
QUESTION 2 Let Xi.. Xn be a random sample from a N (μ, σ 2) distribution, and let S2 and Š-n--S2 be two estimators of σ2. Given: E (S2) σ 2 and V (S2) - ya-X)2 n-l -σ (a) Determine: E S2): (l) V (S2); and (il) MSE (S) (b) Which of s2 and S2 has a larger mean square error? (c) Suppose thatnis an estimator of e based on a random sample of size n. Another equivalent definition of...
15. Multiple Choice Question Consider two independent normal populations. A random sample of size n = 16 is selected from the first normal population with mean 75 and variance 288. A second random sample of size m - 9 is selected from the second normal population with mean 80 and variance 162. Assume that the random samples are independent. Let X, and X, be the respective sample means. Find the probability that X1 + X, is larger than 156.5. A....
PROBLEM 1: Assume you have a random sample of Y's of size n from the model Y = Bote where Bo is an unknown parameter and the error e has zero mean and variance o2. (i) What is the interpretation of B.? (ii) Compute the OLS estimator of Bo. (ii) Find the mean and variance of the OLS estimator. (iii) What is the coefficient of determination in this model?
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