4. The continuous random variables X and Y are statistically independent and form the random variable z, where Z = X+Y. The random variable x is exponential (^) and the random variable y is uniform over [-a, al. a) Use MGF methods to obtain the probability density function z(z) of the random variable z. b) Use convolution methods to obtain the probability density function f₂(²). c) Use MATLAB to plot f₂(z) when = 0.1 and a = 5.

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.CR: Chapter 13 Review
Problem 52CR
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4. The continuous random variables X and Y are statistically
independent and form the random variable z, where Z = X+Y.
The random variable x is exponential @^) and the random
variable y is uniform over [-a, al. a) Use MGF methods to
obtain the probability density function z(²) of the random
variable z. b) Use convolution methods to obtain the
probability density function fz(z). c) Use MATLAB to plot
f₂(z) when λ = 0.1 and a=5.
Transcribed Image Text:4. The continuous random variables X and Y are statistically independent and form the random variable z, where Z = X+Y. The random variable x is exponential @^) and the random variable y is uniform over [-a, al. a) Use MGF methods to obtain the probability density function z(²) of the random variable z. b) Use convolution methods to obtain the probability density function fz(z). c) Use MATLAB to plot f₂(z) when λ = 0.1 and a=5.
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