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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.
Two-person, zero-sum games Two players X & Y have two alternatives. They show their choices by pressing two types of buttons in front of them but they cannot see the opponents
A bill is explained as an unconditional order in writing, addressed through one person to the other, signed through the person providing it, requiring the person to whom it is addr
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using the operating cycle and any other financial management knowledge,discuss the applicabilty of such cycle to poultry
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