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Cyclic Chains:
In Markov Chains the current state of the system depends on all previous states. It is a stochastic process. Sometimes transition probability matrices are different from State I to State II, State II to State III etc and from cyclic chains which repeat in the same order.Recurrent State:
A state is recurrent if it is certain to take place again, given that it has happened at least once, otherwise it is said to be transient. In other words, a transient state will take place only a limited number of times and then go away forever whereas the recurrent state is permanent. If a process is finite (i.e. has a finite number of states) and is irreducible, then all states are recurrent. This is the most common form of Markov Chain in applications.
THEORY OF METAGAMES This theory appears to describe how most people play non-zero sum games involving any number of persons. Prisoner's dilemma is an example of this; the ai
Illustration of Standard error of estimate The production manager of XYZ Company is concerned about the apparent fluctuation in efficiency and wants to determine how labour cos
Frontier Sports sells hunting and fishing equipment and provides guided hunting and fishing trips. Frontier Sports is owned and operated by Wally Schnee, a well-known sports enthus
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In the current corporate world, this is a common practice of companies along with surplus cash to lend to another company for a short period generally ranging from 60 days to 180 d
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