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consider a ratio estimator
by using delta method
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consider a ratio estimator by using delta method 1. Consider a ratio estimator h(1,6%) = 61/62,...
1. Consider a ratio estimator h(01,02) 1/02, where the estimated variance- Го, is covariance for ô Cov(o,O2) Cov (0) ΙGov(0, 6.) Using the delta method, show that 1/0 V,6) [1/ -0,/0 vCov( -01/05
Question 2 (10 points) You are given the following model y-put ei. Consider two alternative estimators of β, b2xvix? and b = Zy/X 1. Which estimator would you choose and why if the model satisfies all the assumptions of classical regression? Prove your results. (4 points) 2. Now suppose that var(y)-hxi, where h is a positive constant (a) Obtain the correct variance of the OLS estimator. (2 points) (b) Show that the BLU estimator is now 6. Derive its variance....
Question 1 Consider the following model Yi = B.z; + u (a) Derive the OLS estimator of B, B. (6 marks] (b) Show that is unbiased. [9 marks] (c) Find the variance of B. [7 marks]
Question 1. Consider a stratified design composed of H strata of size Nh, h = 1,...,H. We want to estimate the population mean µy of the characteristic y. Let µx,h, h =1,...,H be the means in the strata (in the population) of an auxiliary characteristic x. The µx,h are supposedly known and we propose to estimate µy using the following estimator: b µD = yst +µx −xst where yst and xst are the basic estimate of the population means µy...
7.20 Consider Y1,...,Yn as defined in Exercise 7.19. (a) Show that Yilti is an unbiased estimator of B. (b) Calculate the exact variance of Yi/ xi and compare it to the variance of the MLE. 7.19 Suppose that the random variables Yı, ..., Yn satisfy Yi = Bli +ti, i = 1,...,n, where x1, ..., In are fixed constants, and €1,..., En are iid n(0,02), o2 unknown. (a) Find a two-dimensional sufficient statistic for (0,0%). (b) Find the MLE of...
EXERCISE1 The robust estimator of of the variogram (Cressie and Hawkins (1980)) given by 1 uses the transformation 2s+h)-Z(s 0.494 27(h) Consider now the class of power transformations Z(s + h) - Z(s) 27(h) 름, a. Find the mean and variance of a λwhere λ- b. b. Let X ~ χ. Find and plot the pdf of Y-X, where λ- c. Find an estimator of the variogram when the transformations , 2' 3' 5' 8 Z(s+ h) - Z(s) Z(s...
Question 1 Consider the following model Yi = Bx; +ui (a) Derive the OLS estimator of B, ß. (6 marks] (b) Show that B is unbiased. (9 marks] (c) Find the variance of ß. [7 marks] -r.pdf
Consider the following assumptions: 1. ?? = ?(? + ??) (data generating process) 2. E(?? ) = 0 for all 3. Var(?? ) = ? 2 for all i 4. Cov(?? , ?? ) for ? ≠ ? 5. ?? ∼ ?????? And suppose you’re interested in generating an estimate for ?. a. What is the expected value of the sample mean estimator, ?̂= 1 ? ∑?? , under these assumptions? Is ?̂an unbiased estimator for ?? Show all work...
2. Suppose Y1,...,Yn are IID discrete random variables with P(Y; = 0) = 60 P(Y; = 1) = 01, P(Y; = 2) = 62, where the parameter vector 6 = (60,61,62) satisfies: 0; > 0 and 200; = 1. (a) Calculate E[Y] and EY?), and use the results to derive a method of moments estimator for the parameters (01,02). (b) Show that the maximum likelihood estimator for 6 = 60, 61, 62) is - Ôno = ôz = = 1(Y;=0),...
6. Consider the following sample: Xi = -2, X2 = 12. X7-1.5, Xs -0.5, a. Estimate the population mean, μ, using an analogical estimator. b. Estimate the population variance. ơ2, using a biased and an unbiased estimator. c. Assuming that the random sample is drawn from a normal population with known variance, σ2-4, construct a 95% confidence interval for the population mean. d. Assuming that the random sample is drawn from a normal population with unknown variance, σ2, construct a...