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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.
MULTIPLE REGRESSION The least square regression equation discussed above was based on the assumption that total cost was determined by only one activity based variable. However
Compute the Expected Return and Risk of a Portfolio? The subsequent data are presented to you as a portfolio manager Security Expected Return
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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 diff
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Independence of observations An important assumption for the simple linear regression model is the independence of errors. In many time series models, this assumption is violat
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Define the Balanced Score Card? 1. Distinguish between standard control and budgetary costing. 2. Define the ‘Balanced Score Card? Explain the steps in implementing ‘Balance
What is Standard costing Standard cost is a predetermined cost. It is a determination in advance of production of what should be the cost. When standard costs are used for the
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