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Markov Analysis


Learning Objectives

After completing this chapter, you should be able to:
  1. Give examples of systems that may lend themselves to be analyzed by a Markov model.
  2. Explain the meaning of transition probabilities.
  3. Describe the kinds of system behaviors that Markov analysis pertains to.
  4. Use a tree diagram to analyze system behavior.
  5. Use matrix multiplication to analyze system behavior.
  6. Use an algebraic method to solve for steady-state probabilities.
  7. Analyze absorbing states, namely accounts receivable, using a Markov model.
  8. List the assumptions of a Markov model.
  9. Use Excel to solve various problems pertaining to a Markov model.










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