All Markov chain transition matrices have the same number of rows as columns.
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Q12: When absorbing states are present,each row of
Q14: The fundamental matrix is derived from the
Q15: For Markov processes having the memoryless property,the
Q16: Markov processes use historical probabilities.
Q17: State j is an absorbing state if
Q19: A state,i,is an absorbing state if,when i
Q20: If an absorbing state exists,then the probability
Q21: Markov process models
A)study system evolution over repeated
Q22: Markov process trials
A)are used to describe future
Q23: Absorbing state probabilities are the same as
A)steady-state
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