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Markov Chain
(redirected from Markov analysis)

   Also found in: Dictionary/thesaurus, Medical, Wikipedia 0.01 sec.
Markov chain [′mar‚kȯf ‚chān]
(mathematics)
A Markov process whose state space is finite or countably infinite.

(probability)Markov chain - (Named after Andrei Markov) A model of sequences of events where the probability of an event occurring depends upon the fact that a preceding event occurred.

A Markov process is governed by a Markov chain.

In simulation, the principle of the Markov chain is applied to the selection of samples from a probability density function to be applied to the model. Simscript II.5 uses this approach for some modelling functions.


Markov Chain 

a concept in probability theory that emerged from the works of the Russian mathematician A. A. Markov (the elder) that dealt with the study of sequences of dependent trials and sums of random variables associated with them. The development of the theory of Markov chains facilitated the creation of the general theory of Markov processes.



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95 Hardcover T55 The heart of this volume consists of the presentation of 22 of the most commonly used hazard analysis methodologies in system safety, including functional hazard analysis, health hazard assessment, failure mode and effects analysis, Markov analysis, operating and support hazard analysis, software safety assessment, and sneak circuit analysis, along with illustrations and examples.
One method of determining this involves the use of Markov analysis.
 
 
 
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