Q 11 Some components of a two-component system fail after receiving a shock. Shocks of three types arrive independently and in accordance with a Poisson process. Shocks of the first type arrive at a Poisson rate A1 and cause the first component to fail. Those of the second type arrive at Poisson rate A, and cause the second component to fail. The third type of shock arrives at a Poisson rate A3 and causes both components to fail. Let X1 and X, denote the survival times for the two components. Show that the joint distribution of X, and X, is given b P(X1 > s, X2 > t) = exp (-A18 – Azt – A3max (s, t)). Lit... 0 Thi.
Q 11 Some components of a two-component system fail after receiving a shock. Shocks of three types arrive independently and in accordance with a Poisson process. Shocks of the first type arrive at a Poisson rate A1 and cause the first component to fail. Those of the second type arrive at Poisson rate A, and cause the second component to fail. The third type of shock arrives at a Poisson rate A3 and causes both components to fail. Let X1 and X, denote the survival times for the two components. Show that the joint distribution of X, and X, is given b P(X1 > s, X2 > t) = exp (-A18 – Azt – A3max (s, t)). Lit... 0 Thi.
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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Transcribed Image Text:Q 11 Some components of a two-component system fail after receiving a shock. Shocks of three types arrive
independently and in accordance with a Poisson process. Shocks of the first type arrive at a Poisson rate A, and
cause the first component to fail. Those of the second type arrive at Poisson rate A, and cause the second
component to fail. The third type of shock arrives at a Poisson rate A3 and causes both components to fail. Let X,
and X, denote the survival times for the two components. Show that the joint distribution of X1 and X, is given by
P(X, > s, X, > t) = exp (-A18 – dzt – A3max (s, t)).
\item{} This distribution is known as a bivariate exponential distribution.
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