Problem5 Let x, ,x, be a random sample from normal population Na, σ Find method of moments estima...
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...
be a random sample from the density 16 1. Let Xi, . f(x; β) otherwise 8(1-/4). You may suppose that E(X)(/ (a) Find a sufficient statistic Y for B and Var(X) C21 C2] 031 (b) Find the maximum likelihood estimator B of B and show that it is a function (c) Determine the Rao-Cramér lower bound (RCLB) for the variance of unbiased (d) Use the following data and maximum likelihood estimator to give an approxi- 2.66, 2.02, 2.02, 0.76, 1.70,...
10. Let Y1,..., Y, be a random sample from a distribution with pdf 0<y< elsewhere f(x) = { $(0 –» a) Find E(Y). b) Find the method of moments estimator for 8. c) Let X be an estimator of 8. Is it an unbiased estimator? Find the mean square error of X. Show work
Exercise: Let Yİ,Y2, ,, be a random sample from a Gamma distribution with parameters and β. Assume α > 0 is known. a. Find the Maximum Likelihood Estimator for β. b. Show that the MLE is consistent for β. c. Find a sufficient statistic for β. d. Find a minimum variance unbiased estimator of β. e. Find a uniformly most powerful test for HO : β-2 vs. HA : β > 2. (Assume P(Type!Error)- 0.05, n 10 and a -...
Let X,, X,,...X be a random sample of size n from a normal distribution with parameters a. Derive the Cramer-Rao lower bound matrix for an unbiased estimator of the vector of parameters (μ, σ2). b. Using the Cramer-Rao lower bound prove that the sample mean X is the minimum variance unbiased estimator of u Is the maximum likelihood estimator of σ--σ-->|··( X,-X ) unbiased? c. Let X,, X,,...X be a random sample of size n from a normal distribution with...
5.2.7. Let X, .., Xn be a random sample from a population with pdf 20 0, otherwise Find a method of moments estimator for α.
Ex (5) Let X = (Xi, X2, ,X") be a random sample with size n taken from population has e-부) a) 71 2 X is an unbiased estimator of τ (θ)-2(J+ b) T-X is a consistent estimator of τ (9) (J+ β fx(x ; θ) , β < x <。。.Show that 2)
6. Let X1,..., Xn be a random sample from the pdf Find the method of moments estimator of
4. Let Yi, . .. ,y, denote a random sample from the pdf 0-1 0Ky1, elsewhere. y"(1- y)0-1 0, (a) Find the method of moments estimator of θ. (b) Find a sufficient statistics for θ 4. Let Yi, . .. ,y, denote a random sample from the pdf 0-1 0Ky1, elsewhere. y"(1- y)0-1 0, (a) Find the method of moments estimator of θ. (b) Find a sufficient statistics for θ
7. Let X1,....Xn random sample from a Bernoulli distribution with parameter p. A random variable X with Bernoulli distribution has a probability mass function (pmf) of with E(X) = p and Var(X) = p(1-p). (a) Find the method of moments (MOM) estimator of p. (b) Find a sufficient statistic for p. (Hint: Be careful when you write the joint pmf. Don't forget to sum the whole power of each term, that is, for the second term you will have (1...