2.1 Determine y(t) by deriving the Inverse Laplace transform: y(t)=L 98² (s+1)(s²+2s+10) (8) 2.2 Determine L (In t). (7) 2.3 Illustrate the convolution of independent binomial distributions of X and Y to determine the distribution of Z = X+Y. X is distributed b(n, p) and Y is distributed, independently of X, b(m, p). (4) 2.4 Using convolutions determine the distribution of X + Y if X is distributed negative binomial (r,p) and Y is distributed negative binomial (s,p), 0
2.1 Determine y(t) by deriving the Inverse Laplace transform: y(t)=L 98² (s+1)(s²+2s+10) (8) 2.2 Determine L (In t). (7) 2.3 Illustrate the convolution of independent binomial distributions of X and Y to determine the distribution of Z = X+Y. X is distributed b(n, p) and Y is distributed, independently of X, b(m, p). (4) 2.4 Using convolutions determine the distribution of X + Y if X is distributed negative binomial (r,p) and Y is distributed negative binomial (s,p), 0
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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