Which of the following is not an assumption or a characteristic of a Markov Process? A) The transition probabilities are the same for any customer. B) The transition probabilities will remain constant over time. C) The probability of being in a particular state at any one time period depends only on the state immediately preceding it. D) In a transition matrix, sum of the row probabilities must sum to one. E) In a transition matrix, sum of the column probabilities must sum to one.

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In a transition matrix for a Markov process, it is the sum of the row probabilities that must sum to one, not the column probabilities. This is because each row represents the probability of transitioning from a state to all other possible states, and these probabilities must sum to 1, indicating certainty of transitioning to some state.

Which of the Following Is not an Assumption or a Characteristic