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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.
given the above data what would the breakeven in units and dollars be if u wanted a necessary after tax profit of $ 36,000 (assume a 30% tax rate ) units __________ ales dollars _
Testing the Slope The strong point of the relationship among the dependent variable and each of the independent variables can be determined using 3 methods: 1) Correlation
Compute the ‘fair' value of the two nearest to expiration futures contracts on the Hang - Seng Index (HSI) using HSI as the underlying asset Answer the following questions: a
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