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Basics of Probability and Stochastic Processes

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Cover of 'Basics of Probability and Stochastic Processes'

Table of Contents

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    Book Overview
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    Chapter 1 Combinatorial Analysis
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    Chapter 2 Basic Concepts, Axioms and Operations in Probability
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    Chapter 3 Conditional Probability, Bayes’ Formula, Independent Events
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    Chapter 4 Introduction to Random Variables
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    Chapter 5 Discrete Random Variables
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    Chapter 6 Continuous Random Variables
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    Chapter 7 Other Selected Topics in Basic Probability
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    Chapter 8 A Brief Introduction to Stochastic Processes
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    Chapter 9 A Brief Introduction to Point Process, Counting Process, Renewal Process, Regenerative Process, Poisson Process
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    Chapter 10 Poisson Process
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    Chapter 11 Renewal Process
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    Chapter 12 An Introduction to Markov Chains
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    Chapter 13 Special Discrete-Time Markov Chains
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    Chapter 14 Continuous-Time Markov Chains
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    Chapter 15 An Introduction to Queueing Models
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    Chapter 16 Introduction to Brownian Motion
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    Chapter 17 Basics of Martingales
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    Chapter 18 Basics of Reliability Theory
Attention for Chapter 12: An Introduction to Markov Chains
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