Suppose the CDF of a random variable X is given by Assume γ is known and is equal to its MLE. Fin...
Let X1, ,Xn be a random sample gamma(α, β), assume a is known. Consider testing Ho : β = βο. Derive Wald statistic for testing Ho using the MLE of B both in the numerator and denominator of the statistic. Let X1, ,Xn be a random sample gamma(α, β), assume a is known. Consider testing Ho : β = βο. Derive Wald statistic for testing Ho using the MLE of B both in the numerator and denominator of the statistic.
with parameters α and β. 2. Yİ,%, , Y, are a random sample from the Gamma distribution (a) Suppose that α 4 is known and β is unknown. Find a complete sufficient statistic for β. Find the MVUE of β. (Hint: What is E(Y)?) (b) Suppose that β 4 is known and α is unknown. Find a complete sufficient statistic for a. with parameters α and β. 2. Yİ,%, , Y, are a random sample from the Gamma distribution (a)...
2. Let Xi, , Х, be a random sample gamma(a, β). In parts (a-(d) assume a is known. 30 points a. Consider testing H. : β--βο. Derive Wald statistic for testing H, using the MLE of B both in the numerator and denominator of the statistic. b. Derive a test statistic for testing H, using the asymptotic distribution of the MLE of β. What is the relation between the two statistics in parts (a) and (b)? c. Derive the Score...
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 X1, , xn be a random sample gamma(a, β). In parts (a)-(d) assume a is known. Consider testing Ho : β Derive Wald statistic for testing Ho using the MLE of β both in the numerator and denominator of the statistic. Let X1, , xn be a random sample gamma(a, β). In parts (a)-(d) assume a is known. Consider testing Ho : β Derive Wald statistic for testing Ho using the MLE of β both in the numerator and...
Please help with question 4 Consider the simple linear regression model: with σ2 is known. Assume x's are fixed and known, and only y's are random. Recall Ex 3.5.22 in Homework 1. Here the design matrix is 1 T2 and the regression coefficielt is β = (α, β)T, 3. Derive the MLE of a and ß and show that it is independent of σ2· Is your MLE sane as the least square estimation in Ex 3.5.22? 4. Drive the mean...
11. Obtain the MLE estimate for the beta parameter in Gamma distribution defined below for n iid (identical and independent) observations in a sample. Show steps. Obtain the MLE estimate for the alpha parameter. The continuous random variable X has a gamma distribution, with param eters α and β, if its density function is given by x>0, elsewhere, .tor"-le-z/ß, f(x; α, β)-Ί where α > 0 and β > 0. (You will also need the beta estimate, use the direct...
(a)Suppose X ∼ Poisson(λ) and Y ∼ Poisson(γ) are independent, prove that X + Y ∼ Poisson(λ + γ). (b)Let X1, . . . , Xn be an iid random sample from Poisson(λ), provide a sufficient statistic for λ and justify your answer. (c)Under the setting of part (b), show λb = 1 n Pn i=1 Xi is consistent estimator of λ. (d)Use the Central Limit Theorem to find an asymptotic normal distribution for λb defined in part (c), justify...
Suppose that X is a random variable whose cumulative distribution function (cdf) is given by: F(x) = Cx -x^2, 0<x<1 for some constant C a. What is the value of C? b. Find P(1/3 < X < 2/3) c. Find the median of X. d. What is the expected value of X?
The cdf of the random variable X is given by: x < a x — а b-0 a < x <b ( 1 x > b Let a=32 and b=79. Find the 87th percentile. Select one: a. 4121.00 O b. 32.00 c. 72.89 d. 79.00 e. 85.16