Chapter 10: Q. 10.4 (page 430)
Present a method for simulating a random variable having distribution function
Short Answer
The universality of uniform is used to obtain the required method.
Chapter 10: Q. 10.4 (page 430)
Present a method for simulating a random variable having distribution function
The universality of uniform is used to obtain the required method.
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Get started for freeExplain how you could use random numbers to approximate , where k(x) is an arbitrary function.
Let F be the distribution function
F(x) = xn 0 < x < 1
(a) Give a method for simulating a random variable having distribution F that uses only a single random number.
(b) Let U1, ... , Un be independent random numbers. Show that
P{max(U1, ... , Un) … x} = xn
(c) Use part (b) to give a second method of simulating a random variable having distribution F.
If X is a normal random variable with mean μ and variance σ2, define a random variable Y that has the same distribution as X and is negatively correlated with it.
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).
Use the rejection method with g(x) = 1, 0 < x < 1, to determine an algorithm for simulating a random variable having density function
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