The fundamental matrix is used to calculate the probability of the process moving into each absorbing state.
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Q1: A unique matrix of transition probabilities should
Q2: All Markov chains have steady-state probabilities.
Q5: Transition probabilities are conditional probabilities.
Q8: A state i is an absorbing state
Q8: If a Markov chain has at least
Q9: A state i is a transient state
Q15: For Markov processes having the memoryless property,the
Q16: Markov processes use historical probabilities.
Q17: State j is an absorbing state if
Q20: If an absorbing state exists,then the probability
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