State transition probabilities in the Markov chain should

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• The following data consists of a matrix of transition probabilities (P) of three competing companies, the initial market share state 16_10.gif(1), and the equilibrium probability states. Assume that each state represents a firm (Company 1, Company 2, and Company 3, respectively) and the transition probabilities represent changes from one month to the next. The market share of Company 1 in the next period is
• In Markov analysis, state probabilities must
• Markov analysis is a technique that deals with the probabilities of future occurrences by
• While calculating equilibrium probabilities for a Markov process, it is assumed that
• The first-order Markov chain is generally used when
• A problem is classified as Markov chain provided
• Absorbing state probabilities are the same as
• At any period n, the state probabilities for the next period n+1 is given by the following formula:
• Probabilities of occurrence of any state are
• In the long run, the state probabilities become 0 & 1