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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.
Classification and computation of variances The computation and analysis of variances is the main aim of standard costing. The variance is the difference among the standard pe
ADVANTAGES OF "ABC ANALYSIS" The advantages derived from this analysis and its consequent follow up are summarized below: 1) Facilities selective control and thereby save va
Identification of decision packages - Zero base budgeting Each manager should break down his decision unit into smaller decision packages. Top manager may lay down the minimum
The assignment model Consider the situation of assigning m jobs (or workers) to n machines. A job i(= 1,2,3 ...m) when assigned to machine j(= 1,2,3 ...n) acquires a cost Cij.
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