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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.
Non-Zero Sum Games Within very vast situations of possible non-zero games, varying degrees of co-operation exist between the participants. Games theory has been sufficiently de
Once the cash budget has been arranged and suitable net cash flows established the finance manager must ensure that there does not exists an important deviation in between actual a
Explain the growth, index, sectoral, gilt and money market methods? (i) What are the key variations among the open ended and close ended methods? What are the plus and minuses
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