☰

Business & Money

Processes & Infrastructure

Operations Research

Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics)

R 2,757

or 4 x payments of R689.25 with Payflex

Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics)

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.

Country	USA
Author	Pierre Bremaud
Binding	Hardcover
EAN	9780387985091
Edition	Corrected
ISBN	0387985093
IsEligibleForTradeIn	1
Label	Springer
Manufacturer	Springer
NumberOfItems	1
NumberOfPages	444
PublicationDate	2008-03-01
Publisher	Springer
Studio	Springer
ReleaseDate	0000-00-00

Customers who purchased this also purchased...

A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)

A Modern Introduction to Probability and Statistics: Understanding Why and How (Springer Texts in Statistics)

Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)

Heavy-Tail Phenomena: Probabilistic and Statistical Modeling (Springer Series in Operations Research and Financial Engineering)

You might also like...

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Bayesian Data Analysis, Third Edition (Chapman & Hall/CRC Texts in Statistical Science)

Markov Chains and Mixing Times

Markov Chains and Mixing Times

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)