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Abstract:
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In many situations probability models are more realistic than deterministic
models. Several phenomena occurring in physics are studied as random
phenomena changing with time and space. Stochastic processes originated
from the needs of physicists.Let X(t) be a random variable where t is a parameter assuming values
from the set T. Then the collection of random variables {X(t), t ∈ T} is
called a stochastic process. We denote the state of the process at time t
by X(t) and the collection of all possible values X(t) can assume, is called state space |