Markov chain

(redirected from Markov analysis)
Also found in: Dictionary, Thesaurus, Encyclopedia.


(Markoff), Andrei, Russian mathematician, 1865-1922.
Markov chain - number of steps or events in sequence.
Markov chaining - a theory used in psychiatry.
Markov process - a process such that the conditional probability distribution for the state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.

Markov chain, Markov model

a mathematical model that makes it possible to study complex systems by establishing a state of the system and then effecting a transition to a new state, such a transition being dependent only on the values of the current state, and not dependent on the previous history of the system up to that point.
References in periodicals archive ?
The nature of the problem seems ideally suited to the use of Markov analysis as it clearly involves probabilistic transitions from a set of known initial states.
A simple, hypothetical HRP model will be used to demonstrate Markov analysis and replicate the analysis using a much simpler approach combining the principles of system dynamics flowcharting with the convenience and flexibility of spreadsheet power.
Markov analysis with a source term means that straightforward matrix multiplication is no longer possible, at each step there must be either a manual or computer intervention.
The results are identical to those in the Markov analysis, as they must be.
Advantages of holonic modelling over Markov analysis
But this is only one of the formulations which Markov analysis can produce.
One use of Markov analysis is following the original labour force over time to look at the way in which employees leave or progress through the grading structure.