Chapter 10: Q. 10.3 (page 430)
Give a technique for simulating a random variable having the probability density function
Short Answer
The technique for simulating a random variable is the universality of unform.
Chapter 10: Q. 10.3 (page 430)
Give a technique for simulating a random variable having the probability density function
The technique for simulating a random variable is the universality of unform.
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Get started for freeSuppose it is relatively easy to simulate from Fi for each i = 1, ... , n. How can we simulate from
(a)
(b)
Give an efficient algorithm to simulate the value of a random variable with probability mass function
p1 = .15 p2 = .2 p3 = .35 p4 = .30
Let (X, Y) be uniformly distributed in the circle of radius 1 centered at the origin. Its joint density is thus
Let R = (X2 + Y2)1/2 and = tan−1(Y/X) denote
the polar coordinates of (X, Y). Show that R and are
independent, with R2 being uniform on (0, 1) and being
uniform on (0, 2π).
Let X and Y be independent exponential random variables with mean 1.
(a) Explain how we could use simulation to estimate E[eXY].
(b) Show how to improve the estimation approach in part (a) by using a control variate.
Give an approach for simulating a random variable having probability density function
f(x) = 30(x2 − 2x3 + x4) 0 < x < 1
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