Elements of Applied Stochastic Processes (Hardcover)

U. Narayan Bhat

ISBN 10: 0471414425 / ISBN 13: 9780471414421

Published by John Wiley & Sons Inc, New York, 2002

About this Item

Hardcover. This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organising it into a more teachable format. It provides more in-depth coverage of Markov chains and simple Markov process and gives added emphasis to statistical inference in stochastic processes. Integration of theory and application offers improved teachability Provides a comprehensive introduction to stationary processes and time series analysis Integrates a broad set of applications into the text Utilizes a wealth of examples from research papers and monographs This third edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organizing it into a more teachable format. With more in-depth coverage of Markov chains and simple Markov process, the authors provide added emphasis to statistical inference in stochastic processes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780471414421

Bibliographic Details

• Title: Elements of Applied Stochastic Processes (Hardcover)
• Publisher: John Wiley & Sons Inc, New York
• Publication Date: 2002
• Language: English
• ISBN 10: 0471414425
• ISBN 13: 9780471414421
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: new

About this title

Synopsis

This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organising it into a more teachable format. It provides more in-depth coverage of Markov chains and simple Markov process and gives added emphasis to statistical inference in stochastic processes.

• Integration of theory and application offers improved teachability
• Provides a comprehensive introduction to stationary processes and time series analysis
• Integrates a broad set of applications into the text
• Utilizes a wealth of examples from research papers and monographs

About the Author

U. NARAYAN BHAT, PhD, is Professor of Statistical Science and Operations Research as well as the Dean of Research and Graduate Studies at Southern Methodist University.

GREGORY K. MILLER, PhD, is Associate Professor of Statistics at Stephen F. Austin State University.