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Applied Probability

Overview of attention for book
Cover of 'Applied Probability'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Notions of Probability Theory
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    Chapter 2 Calculation of Expectations
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    Chapter 3 Convexity, Optimization, and Inequalities
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    Chapter 4 Combinatorics
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    Chapter 5 Combinatorial Optimization
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    Chapter 6 Poisson Processes
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    Chapter 7 Discrete-Time Markov Chains
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    Chapter 8 Continuous-Time Markov Chains
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    Chapter 9 Branching Processes
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    Chapter 10 Martingales
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    Chapter 11 Diffusion Processes
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    Chapter 12 Asymptotic Methods
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    Chapter 13 Numerical Methods
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    Chapter 14 Poisson Approximation
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    Chapter 15 Number Theory
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    Chapter 16 Appendix: Mathematical Review
Attention for Chapter 8: Continuous-Time Markov Chains
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