7. Section 6.4, Exercise 1 Let X. X be a random sample from the U(0,0) distribution, and let , 2X...
Let X be a random variable with cdf FX (x:0), expected value EIX-μ and variance VlX- σ2. Let X1,X2, , Xn be an id sample drawn according to FX(x,8) where Fx (x,8) =万 for all x E (0,0). Let max(X1, X2, , X.) be an estimator of θ, suggested from pure common sense. Remember that if Y = max(X1, X2, , Xn). Then it can be shown that the cdf Fy () of Y is given by Fr(u) (Fx()" where...
SOLVE the following in R code: iid Let X1, , Xn ~ U (0,0). We are going to compare two estimators for θ: 01-2X, the method of moments estimator -maxX.... X1, the maximum likelihood estimator I. Generate 50,000 samples of size n-50 from U(0,5). For each sample compute both θ1 and 02 (Hint: You can use the R cornmand max (v) to find the maximum entry of a vector v). The results should be collected in two vectors of length...
Please give detailed steps. Thank you. 5. Let {X1, X2,..., Xn) denote a random sample of size N from a population d escribed by a random variable X. Let's denote the population mean of X by E(X) - u and its variance by Consider the following four estimators of the population mean μ : 3 (this is an example of an average using only part of the sample the last 3 observations) (this is an example of a weighted average)...
7. Let X, X,,..., X be a rs from a distribution with mean u and variance o”. Which of the following are unbiased estimators of u? If the estimator is biased, compute the bias.
HOMEWORK 1 ercise 20. (Rossi 4.1.1-2) (a) Let X,... , Xn be a sample of id U(0,0) random variables, and let T - 2X be an estimator of θ. Determine each of the following. (ii) Bias(T 8) (ii) MSE(T,9) (iv) whether T is an MSE-consistent estimator of θ (b) Let Xi,...,In be a sample of id Gamma(4,0) r random variables, and let T X be an estimator of θ. Determine each of the following. (ii) Bias(T; 0) (iii) MSE(T,0) (iv)...
1. Let X1, X2,...,x. be a random sample from the unif(0,0) distribution (a) Find an unbiased estimatior of O based on the sample mean X (b) Find an unbiased estimator of based on the sample maximum X (c) Which estimator is better in terms of variance?
1. Let Xi,..., Xn be a random sample from a distribution with p.d.f. f(x:0)-829-1 , 0 < x < 1. where θ > 0. (a) Find a sufficient statistic Y for θ. (b) Show that the maximum likelihood estimator θ is a function of Y. (c) Determine the Rao-Cramér lower bound for the variance of unbiased estimators 12) Of θ
4. Let X,x, X, be a random sample from a uniform distribution on the interval (0,0) (a) Show that the density function of XnX,X2 Xn is given by 0 otherwise (b) Use (a) to calculate E[X)). Caleulate the bias, B). Find a function of X) that is an unbiased estimator of .
1. (20 points) Let X1....X be a random sample from a uniform distribution over [0,0]. (a) (4 points) Find the maximum likelihood estimator (MLE) 0 MLE for 0. (b) (3 points) Is the MLE ONLE unbiased for 0? If yes, prove it: If not, construct an unbiased estimator 0, based on the MLE. (c) (4 points) Find the method of moment estimator (MME) OM ME for 8. (d) (3 points) Is the MME OMME tnbiased for 6? If yes, prove...
7. Let X,X,,...,X, be a rs from a distribution with mean u and variance o?. Which of the following are unbiased estimators of ju? If the estimator is biased, compute the bias. ☺ x a) 4X, b) 4X,-37 c) 4X, -27 d) e) x, f) - n-1