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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
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,....
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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