Probability Models in Engineering and Science (Mechanical Engineering) (Volume 193)

Benaroya, Haym

ISBN 10: 0824723155 / ISBN 13: 9780824723156

Published by Taylor & Francis Ltd., 2005

About this Item

Volume 193. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1200grams, ISBN:9780824723156.

Seller Inventory # 9784892

Bibliographic Details

• Title: Probability Models in Engineering and Science (Mechanical Engineering) (Volume 193)
• Publisher: Taylor & Francis Ltd.
• Publication Date: 2005
• Language: English
• ISBN 10: 0824723155
• ISBN 13: 9780824723156
• Binding: Hardcover
• Condition: Fair
• Seller catalogs:
  • Engineering

About this title

Synopsis

Certainty exists only in idealized models. Viewed as the quantification of uncertainties, probabilitry and random processes play a significant role in modern engineering, particularly in areas such as structural dynamics. Unlike this book, however, few texts develop applied probability in the practical manner appropriate for engineers.

Probability Models in Engineering and Science provides a comprehensive, self-contained introduction to applied probabilistic modeling. The first four chapters present basic concepts in probability and random variables, and while doing so, develop methods for static problems. The remaining chapters address dynamic problems, where time is a critical parameter in the randomness. Highlights of the presentation include numerous examples and illustrations and an engaging, human connection to the subject, achieved through short biographies of some of the key people in the field. End-of-chapter problems help solidify understanding and footnotes to the literature expand the discussions and introduce relevant journals and texts.

This book builds the background today's engineers need to deal explicitly with the scatter observed in experimental data and with intricate dynamic behavior. Designed for undergraduate and graduate coursework as well as self-study, the text's coverage of theory, approximation methods, and numerical methods make it equally valuable to practitioners.