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Markov Chains - Pierre Bremaud
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Pierre Bremaud:

Markov Chains - used book

ISBN: 9780387985091

A digital copy of "Markov Chains" by Pierre Bremaud. Download is immediately available upon purchase! 9780387985091,0387985093,markov,chains,pierre,bremaud Mathematics & Statistics > Appl… More...

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Markov Chains : Gibbs Fields, Monte Carlo Simulation, and Queues by Pierre Bremaud - Pierre Bremaud
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Pierre Bremaud:

Markov Chains : Gibbs Fields, Monte Carlo Simulation, and Queues by Pierre Bremaud - used book

ISBN: 9780387985091

Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of … More...

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Markov Chains Gibbs Fields, Monte Carlo Simulation, and Queues - Bremaud, Pierre
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Bremaud, Pierre:
Markov Chains Gibbs Fields, Monte Carlo Simulation, and Queues - hardcover

2001

ISBN: 0387985093

1st ed. 1999. Corr. 2nd printing 2001 Gebundene Ausgabe Markowsche Kette - Markov Chain, Unternehmensforschung, Wahrscheinlichkeitsrechnung und Statistik, Stochastik, Elektrotechnik, Ma… More...

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Markov Chains - Pierre Bremaud
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Pierre Bremaud:
Markov Chains - Paperback

2001, ISBN: 9780387985091

*Markov Chains* - Gibbs Fields Monte Carlo Simulation and Queues. 1st ed. 1999. Corr. 2nd printing 2001 / gebundene Ausgabe für 69.49 € / Aus dem Bereich: Bücher, Wissenschaft, Mathematik… More...

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Bremaud, Pierre:
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics, 31) - hardcover

2008, ISBN: 9780387985091

Hardcover, Access codes and supplements are not guaranteed with used items. May be an ex-library book., Gebraucht, guter Zustand, [PU: Springer]

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Markov Chains
Author:
Title:
ISBN:

0387985093


Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.

Details of the book - Markov Chains


EAN (ISBN-13): 9780387985091
ISBN (ISBN-10): 0387985093
Hardcover
Paperback
Publishing year: 1999
Publisher: Springer New York
444 Pages
Weight: 0,980 kg
Language: eng/Englisch

Book in our database since 2007-06-05T17:43:44-04:00 (New York)
Detail page last modified on 2023-04-18T23:42:24-04:00 (New York)
ISBN/EAN: 0387985093

ISBN - alternate spelling:
0-387-98509-3, 978-0-387-98509-1
Alternate spelling and related search-keywords:
Book author: fields, brem, carlo jäger, bremaud pierre
Book title: monte carlo simulation, marko, chain, carlo the, markov chains gibbs fields

Information from Publisher

Author: Pierre Bremaud
Title: Texts in Applied Mathematics; Markov Chains - Gibbs Fields, Monte Carlo Simulation, and Queues
Publisher: Springer; Springer US
444 Pages
Publishing year: 1999-05-11
New York; NY; US
Language: English
69,54 € (DE)
71,49 € (AT)
77,00 CHF (CH)
Available
XVIII, 444 p.

BB; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Markov; Markov Chains; Markov model; Martingale; Monte Carlo Simulation; Stochastic model; Stochastic modelling; electrical engineering; ergodicity; linear optimization; modeling; operations research; regenerative process; simulation; stochastic process; Probability Theory; Operations Research and Decision Theory; Electrical and Electronic Engineering; Stochastik; Unternehmensforschung; Management: Entscheidungstheorie; Elektrotechnik; BC; EA

1 Probability Review.- 2 Discrete-Time Markov Models.- 3 Recurrence and Ergodicity.- 4 Long Run Behavior.- 5 Lyapunov Functions and Martingales.- 6 Eigenvalues and Nonhomogeneous Markov Chains.- 7 Gibbs Fields and Monte Carlo Simulation.- 8 Continuous-Time Markov Models.- 9 Poisson Calculus and Queues.- 1 Number Theory and Calculus.- 1.1 Greatest Common Divisor.- 1.2 Abel’s Theorem.- 1.3 Lebesgue’s Theorems for Series.- 1.4 Infinite Products.- 1.5 Tychonov’s Theorem.- 1.6 Subadditive Functions.- 2 Linear Algebra.- 2.1 Eigenvalues and Eigenvectors.- 2.2 Exponential of a Matrix.- 2.3 Gershgorin’s Bound.- 3 Probability.- 3.1 Expectation Revisited.- 3.2 Lebesgue’s Theorems for Expectation.- Author Index.
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