Synopsis
This book, suitable for advanced undergraduate, postgraduate and research courses in statistics, applied mathematics, operation research, computer science, different branches of engineering, business and management, economics and life sciences etc., is aimed between elementary probability texts and advanced works on stochastic processes. What distinguishes the text is the illustration of the theorems by examples and applications.
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Synopsis
This work is an outcome of the author's lectures conducted from the 1980s during his teaching experience in North America and India. Proofs of theorems are provided. Over 250 solved and unsolved exercises are provided with examples, and a section on Time Series and Stochastic Integrals is included.
About the Author
A. K. Basu.: Department of Statistics, Calcutta University Calcutta, India
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Introduction to Stochastic Process
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