While calculating equilibrium probabilities for a Markov process, it is assumed that
A) There is a single absorbing state
B) Transition probabilities do not change
C) There is a single non-absorbing state
D) None of the above
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Q7: In a matrix of transition probability, the
Q8: In Markov analysis, state probabilities must
A) Sum
Q9: State transition probabilities in the Markov chain
Q10: If a matrix of transition probability is
Q11: In the long run, the state probabilities
Q13: The first-order Markov chain is generally used
Q14: A problem is classified as Markov chain
Q15: The transition matrix elements remain positive from
Q16: Markov analysis is useful for:
A) Predicting the
Q17: Which of the following is not one
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