Consider a distribution with probability function P₁ = P(N = n) = √² (1³) ³6-4² n! -dU (3), n = 0, 1,..., where U (B) is a cumulative distribution function. Prove that P(N> n ) = μ [* 11 (143)³e-4³) n! -[1 − U(3)]d3,n = 0,1,....
Consider a distribution with probability function P₁ = P(N = n) = √² (1³) ³6-4² n! -dU (3), n = 0, 1,..., where U (B) is a cumulative distribution function. Prove that P(N> n ) = μ [* 11 (143)³e-4³) n! -[1 − U(3)]d3,n = 0,1,....
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![(d)
Consider a distribution with probability function
P₁ = P(N = n) = √ (1³) ²e-4²
n!
0
-dU (3), n = 0, 1,...,
where U (B) is a cumulative distribution function. Prove that
4.600 (1,3) "e-13)
n!
P(N>n) = μ
-[1 − U(3)]d3,n=0,1,....](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fec8f6c50-c8ba-4cf0-92fc-c8288bb20795%2F991a7859-37aa-45f2-b2af-8e5b2a2b2c54%2Folcqj2d_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(d)
Consider a distribution with probability function
P₁ = P(N = n) = √ (1³) ²e-4²
n!
0
-dU (3), n = 0, 1,...,
where U (B) is a cumulative distribution function. Prove that
4.600 (1,3) "e-13)
n!
P(N>n) = μ
-[1 − U(3)]d3,n=0,1,....
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