1.) Consider the following continuous probability density function with unknown population parameter 0. in the town...
Consider the following continuous probability density function with unknown population parameter 0. 2.) for 2 x+oo fx)= Ө (х — 1) 40+1) otherwise 0 Demonstrate that Jf(x) dx = 1 (you may assume 0 > 1) Determine the maximum likelihood estimator for 0 (based on a random sample of n observations) +oo (b)
6. Let Y be a continuous random variable with probability density function Oyo-1, for 0< y< k; f(y) 0, otherwise, where 0 > 1 and k > 0. (a) Show that k = 1. (b) Find E(Y) and Var(Y) in terms of 0. (c) Derive 6, the moment estimator of 0 based on a random sample Y1,...,Y. (d) Derive ô, the maximum likelihood estimator of 0 based on a random sample Y1,..., Yn. (e) A random sample of n =...
1. Let X be a continuous random variable with probability density function f(x) = { if x > 2 otherwise 0 Check that f(-x) is indeed a probability density function. Find P(X > 5) and E[X]. 2. Let X be a continuous random variable with probability density function f(x) = = { SE otherwise where c is a constant. Find c, and E[X].
Consider a continuous random variable X with the following probability density function: Problem 2 (15 minutes) Consider a continuous random variable X with the following probability density function: f(x) = {& Otherwise ?' 10 otherwise? a. Is /(x) a well defined probability density function? b. What is the mathematical expectation of U (2) = x (the mean of X, )? c. What is the mathematical expectation of U(z) = (1 - 2 (the variance of X, oº)?
suppose that ri 1, are a random sample having probability density function f(x;8)=(0 otherwise (a) Determine the method of moments estimator of δ based on the first moment.
20. Let Xi, X2, function Xn be a random sample from a population X with density C")pr(1-0)rn-r for x = 0, 1.2, , m f(x:0) = 0 otherwise, , where 0 〈 θく1 is parameter. Show that unbiased estimator of θ for a fixed m. is a uniform minimum variance 20. Let Xi, X2, function Xn be a random sample from a population X with density C")pr(1-0)rn-r for x = 0, 1.2, , m f(x:0) = 0 otherwise, , where...
1. Consider a random sample of size n from a population with probability density function: х fx(x,0) = e 02 exig for x >0,0 >0. (a) Find the Cramer-Rao lower bound for the variance of an unbiased estimator of (b) Find the methods of moment estimator for @ and verifies that it attains the lower bound
3. Let X be a continuous random variable with probability density function ax2 + bx f(0) = -{ { for 0 < x <1 otherwise 0 where a and b are constants. If E(X) = 0.75, find a, b, and Var(X). 4. Show that an exponential random variable is memoryless. That is, if X is exponential with parameter > 0, then P(X > s+t | X > s) = P(X > t) for s,t> 0 Hint: see example 5.1 in...
1. Suppose that xi, ,Zn are a random sample having probability density function f(x,6) =(0 otherwise (a) Determine the method of moments estimator of δ based on the first moment. (b) Determine the MLE of δ.
1. Suppose that xi,..., xn are a random sample having probability density function f(x; δ)-¡0 otherwise (a) Determine the method of moments estimator of δ based on the first moment. (b) Determine the MLE of δ.