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Introduction to Random Processes
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Random Processes with Discrete State Space
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Chapter 2
Homogeneous Markov Processes with a Countable Number of States
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Chapter 3
Homogeneous Markov Processes with a Countable Number of States
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Chapter 4
Branching Processes
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Chapter 5
Brownian Motion
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Chapter 6
Random Processes in Multi-Server Systems
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Chapter 7
Random Processes as Functions in Hilbert Space
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Chapter 8
Stochastic Measures and Integrals
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Chapter 9
The Stochastic Ito Integral and Stochastic Differentials
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Chapter 10
Stochastic Differential Equations
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Chapter 11
Diffusion Processes
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Chapter 12
Linear Stochastic Differential Equations and Linear Random Processes
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Chapter 13
Stationary Processes
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Chapter 14
Some Problems of Optimal Estimation
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Chapter 15
A Filtration Problem
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
9
Dimensions
Book overview
1. Random Processes with Discrete State Space
2. Homogeneous Markov Processes with a Countable Number of States
3. Homogeneous Markov Processes with a Countable Number of States
4. Branching Processes
5. Brownian Motion
6. Random Processes in Multi-Server Systems
7. Random Processes as Functions in Hilbert Space
8. Stochastic Measures and Integrals
9. The Stochastic Ito Integral and Stochastic Differentials
10. Stochastic Differential Equations
11. Diffusion Processes
12. Linear Stochastic Differential Equations and Linear Random Processes
13. Stationary Processes
14. Some Problems of Optimal Estimation
15. A Filtration Problem
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
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So far, Altmetric has seen this research output assigned in
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syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Unknown
1
Economics, Business, Engineering, Area and Ethnic Studies