For a Markov process with absorbing states, we define Π(j) = state vector at stage j N = fundamental matrix
I = identity matrix
Q = matrix of transition probabilities between non-absorbing states
R = matrix of transition probabilities between non-absorbing states and absorbing states
The limiting state probabilities equal:
A) Π(1) * N * R
B) I * R * Q
C) (I - Q) -1
D) Π(1) * N * Q
Correct Answer:
Verified
Q28: A state vector is used for determining
Q29: The "mean recurrence time" for a state
Q30: What is the steady-state significance, if any,
Q31: In determining steady-state behavior for a process
Q32: A gambler has an opportunity to play
Q34: Charles dines out twice a week.On Tuesdays,
Q35: In a Markovian system, is it possible
Q36: Steady-state probabilities are independent of the initial
Q37: In a Markov process, what determines the
Q38: The state vector for stage j of
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents