离散状态随机过程代写 Discrete State随机过程代写
1052Discrete State Stochastic Processes Final Exam 526 离散状态随机过程代写 1.(2pts+3pts+6pts+3pts+4pts) This exercise is known in physics as the problem of Maxwell’s demon, which is a thought ...
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数学课业代做 Reading: relevant background material for these problems can be found in the class notes, and in Ross (Chapters 2,3,5) and in Grinstead and Snell
Reading: relevant background material for these problems can be found in the class notes, and in Ross (Chapters 2,3,5) and in Grinstead and Snell (Chapters 1,2 3, 6).
A typing firm has three typists A,B and C. The number of errors per 100 pages made by typist A is a Poisson random variable with mean 2.6; the number of errors per 100 pages made by typist B is a Poisson random variable with mean 3; the number of errors per 100 pages made by typist C is a Poisson random variable with mean 3.4. A manuscript of 300 pages is sent to the firm.
Let X denote the number of errors in the typed manuscript.
a) Assume that one typist is randomly selected to do all the work. Find the mean and variance of X.
b) Assume instead that the work is divided into three equal parts which are given to the three typists. Find the mean and variance of X in this case.
In a variation of the classic Monty Hall game show, the host sets up five doors and hides prizes behind two of the doors. The contestant first guesses a door, and then the host opens one of the other four doors to show that it does not conceal a prize. The contestant is offered the opportunity to switch her guess to a different door. Should she switch or stay with her original choice? [Hint: see notes on the Monty Hall question, and try to imitate the solution provided there].
A fair die is rolled repeatedly. Let Xn be the result of the nth roll. So Xn takes values {1,…, 6}, each with probability 1/6, and the random variables X1, X2,… are all independent. Let
N = min{n : Xn = Xn−1, n ≥ 2}
That is, N is the first roll where the result is equal to the previous roll. [e.g., if you roll the sequence 2, 3, 1, 4, 4, 6,… then N = 5.] Find E[N].
[Hint: argue that E E[N|X1 = a] = E[N|X1 = b] for all a, b = 1,…, 6, and conclude that E[N] = [N|a] for any a = 1,…, 6. Then condition on the outcomes of the first two rolls, and imitate the argument we used in class for the ‘rat in a maze’ problem to derive an equation for E[N].]
Randomly distribute r balls in n boxes so that the sample space consists of nr equally likely elements. Let Nn be the number of empty boxes. Suppose that r, n → ∞ in such a way that their ratio r/n converges to a constant value c. Show that n−1 E[Nn] converges as n → ∞ and find the limiting value in terms of c.
[Hint: define Xi = 1 if the ith box is empty, and Xi = 0 if the ith box is not empty].
Suppose X is an exponential random variable. One of the following three formulas is correct:
(a) E[X2 | X > 1] = E[(X + 1)2]
(b) E[X2 | X > 1] = E[X2]+1
(c) E[X2 | X > 1] = (E[X] + 1)2
Without doing computations, use the memoryless property of the exponential distribution to explain which answer is correct.
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Discrete State Stochastic Processes Final Exam 526 离散状态随机过程代写 1.(2pts+3pts+6pts+3pts+4pts) This exercise is known in physics as the problem of Maxwell’s demon, which is a thought ...
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