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Markov Processes
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eBay-Artikelnr.:357596609345
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- Country/Region of Manufacture
- United States
- ISBN
- 9781041046660
Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1041046669
ISBN-13
9781041046660
eBay Product ID (ePID)
2350926607
Product Key Features
Number of Pages
337 Pages
Publication Name
Markov Processes
Language
English
Subject
Operations Research, General, Probability & Statistics / Bayesian Analysis
Publication Year
2025
Type
Textbook
Subject Area
Mathematics, Business & Economics
Series
Advances in Applied Mathematics Ser.
Format
Trade Paperback
Dimensions
Item Weight
22.7 Oz
Item Length
9.2 in
Item Width
6.1 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2025-021615
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.233
Table Of Content
Preface to Second Edition 1. Review of Probability 2. Discrete-Time, Finite-State Markov Chains 3. Discrete-Time, Infinite-State Markov Chains 4. Exponential Distribution and Poisson Process 5. Continuous Time Markov Chains 6. Queuing Models and Detailed Balance Equations 7. Reversible Markov Chains 8.Digraphs
Synopsis
Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps. Clear, rigorous, and intuitive, the second edition builds on the successful first, used in courses and as a reference for those who want to see detailed proofs of the theorems of Markov processes. It contains copious computational examples that motivate and illustrate the theorems. This second edition presents a new chapter illustrating the utility of using digraphs to describe whether a Markov process is reducible, absorbing, etc. There are additional exercises, and some material has been applied in a number of fields, including economics, physics, and mathematical biology. This book begins with a review of basic probability, then covers the case of finite-state, discrete-time Markov processes. Building on this, the text deals with the discrete-time, infinite-state case and provides background for continuous Markov processes with exponential random variables and Poisson processes. It presents continuous Markov processes that include the basic content of Kolmogorov's equations, infinitesimal generators, and explosions. This book concludes with coverage of both discrete and continuous reversible Markov chains. While Markov processes are touched on in probability courses, this book offers the opportunity to concentrate on the topic when additional study is required. It creates a more seamless transition to prepare the student for what comes next., Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps. Clear, rigorous, and intuitive, the second edition builds on the successful first, used in courses and as a reference for those that want to see detailed proofs of the theorems of Markov processes. It contains copious computational examples that motivate and illustrate the theorems. The second edition presents a new chapter illustrating the utility of using digraphs to describe whether a Markov process is reducible, absorbing, etc. There are additional exercises, and some material has been Applications to a number of fields, including economics, physics, and mathematical biology. The book begins with a review of basic probability, then covers the case of finite state, discrete time Markov processes. Building on this, the text deals with the discrete time, infinite state case and provides background for continuous Markov processes with exponential random variables and Poisson processes. It presents continuous Markov processes which include the basic material of Kolmogorov's equations, infinitesimal generators, and explosions. The book concludes with coverage of both discrete and continuous reversible Markov chains. While Markov processes are touched on in probability courses, this book offers the opportunity to concentrate on the topic when additional study is required. It creates a more seamless transition to prepare the student for what comes next., The second edition of Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes. The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps.
LC Classification Number
QA274.7.K58 2025
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Late Knight Books
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Verkäuferbewertungen (97)
- g***t (180)- Bewertung vom Käufer.Letzter MonatBestätigter KaufSeller is an absolute nightmare. Seller is a crook. Seller did not send the item. Seller left me a back feedback comment disguised as positive feedback in order to circumvent ebay rules. I waited weeks before I even complained to Ebay. Would you wait over a month for a book to be shipped? Doubtful. Better late than never, except this time its never. Seller is likely a drop shipper. Avoid! Thank me later.
- j***a (1356)- Bewertung vom Käufer.Letzter MonatBestätigter KaufGreat seller, fast shipping!
- e***9 (1446)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufWell packaged and came in good condition.