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Section 2 2.1 In Example 2.2.1, if X 3 with probability 1/2 each, show that Xo...
3. A random variable X has probability density function f(x) (a-1)2-α for x > 1. (a)...
3. A random variable X has probability density function f(x) (a-1)2-α for x > 1. (a) For independent observations In show that the log-likelihood is given by, (b) Hence derive an expression for the maximum likelihood estimate for α. (c) Suppose we observe data such that n 6 and Σ61 log(xi) 12. Show that the associated maximum likelihood estimate for α is given by α = 1.5.
Problem 3 Consider a random walk on the integers. Suppose we start from 0, and at each step, we either go left or right with probability 1/2, ie, Xo--0, and Xt+1 Xt+Zt, where Zt-1 with probability 1/...
Problem 3 Consider a random walk on the integers. Suppose we start from 0, and at each step, we either go left or right with probability 1/2, ie, Xo--0, and Xt+1 Xt+Zt, where Zt-1 with probability 1/2, and Zt1 with probability 1/2. What is the probability distribution of XT? What is E(X) and Var(XT)?
Problem 3 Consider a random walk on the integers. Suppose we start from 0, and at each step, we either go left or right with probability...
Example: Consider our coin example again, with X-1, each outcome with probability P(X- 1/2. The expectation...
Example: Consider our coin example again, with X-1, each outcome with probability P(X- 1/2. The expectation value of X and X2 are Note the expectation value of X need not be an allowed value of X. Q2: Let X be the value on the face of a die. what is the expectation value of X? Of X"? If μ what is the expectation value of X-μ? (X),
5.2.5 (Example 5.2.6 Continued) Suppose thatXY are iid having the following common distribution. PC,-1-cip.i-1. 2. 3....
5.2.5 (Example 5.2.6 Continued) Suppose thatXY are iid having the following common distribution. PC,-1-cip.i-1. 2. 3. and 2 <p < 3 Here. c c(p) (> 0) is such that Σ | P(X,-i) = 1.. Is there a real number a = a(p) such that Xn → a as n → 00, for all fixed 2 <p < 3? FYI: Example 5.2.6 In order to appreciate the importance of Khinchine's WLLN (Theorem 5.2.3). let us consider a sequence of iid random...
3. A random variable X has probability density function f(x) (a-1)2-α for x > 1. (a) For independent observations In show that the log-likelihood is given by, (b) Hence derive an expression for the maximum likelihood estimate for α. (c) Suppose we observe data such that n 6 and Σ61 log(xi) 12. Show that the associated maximum likelihood estimate for α is given by α = 1.5.
Problem 3 Consider a random walk on the integers. Suppose we start from 0, and at each step, we either go left or right with probability 1/2, ie, Xo--0, and Xt+1 Xt+Zt, where Zt-1 with probability 1/2, and Zt1 with probability 1/2. What is the probability distribution of XT? What is E(X) and Var(XT)?
Problem 3 Consider a random walk on the integers. Suppose we start from 0, and at each step, we either go left or right with probability...
Example: Consider our coin example again, with X-1, each outcome with probability P(X- 1/2. The expectation value of X and X2 are Note the expectation value of X need not be an allowed value of X. Q2: Let X be the value on the face of a die. what is the expectation value of X? Of X"? If μ what is the expectation value of X-μ? (X),
5.2.5 (Example 5.2.6 Continued) Suppose thatXY are iid having the following common distribution. PC,-1-cip.i-1. 2. 3. and 2 <p < 3 Here. c c(p) (> 0) is such that Σ | P(X,-i) = 1.. Is there a real number a = a(p) such that Xn → a as n → 00, for all fixed 2 <p < 3? FYI: Example 5.2.6 In order to appreciate the importance of Khinchine's WLLN (Theorem 5.2.3). let us consider a sequence of iid random...
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