Discusses basic definitions, important properties and results on
Markov Chains giving examples to understand the intricacies of the
theory of Markov Chains. This book elaborates continuous time
stochastic processes for modeling purpose explaining in detail with
examples and includes an application oriented chapter on how
stochastic modeling throws light on physical sciences. Basics on
branching processes and their applications are explained
pedagogically with a view to develop modeling capacity in
biological sciences. Queues are a ubiquitous part of everyday life.
This volume throws light on the foundation for stochastic modeling
on queues. Interestingly, it presents bulk service queues an
offshoot of professor Medhi's foundation on queues. A monumental
and seminal contribution of Professor Neuts on matrix geometric
methods is presented in a neat form. Finally, it meticulously
designs some stochastic biological models and shows how stochastic
modeling can project the prosperity of biological sciences.
General
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