A continuous-time Markov chain (CTMC) has the following Q = (qij) matrix (all rates are transition/second) 0. 9. 19 0. 3. 18 Q = (4;) 27 47 0 22 1. 3 Given that the process is in state 3, the probability to move next to state 2 is C.5 C0.2 C0.28125 0.48958

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Probability and queuing theory
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A continuous-time Markov chain (CTMC) has the following Q = (qj) matrix (all rates are transition/second)
9 19
7
3.
18
Q – (4)
27
47
0 22
1.
2
3
Given that the process is in state 3, the probability to move next to state 2 is
C0.5
C.2
C0.28125
048958
Next page
age
Transcribed Image Text:Time left 1:07:40 A continuous-time Markov chain (CTMC) has the following Q = (qj) matrix (all rates are transition/second) 9 19 7 3. 18 Q – (4) 27 47 0 22 1. 2 3 Given that the process is in state 3, the probability to move next to state 2 is C0.5 C.2 C0.28125 048958 Next page age
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