Probability, Statistics, and Random Processes for Engineers (Paperback)

Henry Stark

ISBN 10: 0132311232 / ISBN 13: 9780132311236

Published by Pearson Education (US), Upper Saddle River, 2012

About this Item

Paperback. For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing. The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes. Previous edition published as: Probability and random processes with applications to signal processing. c2002. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780132311236

Bibliographic Details

• Title: Probability, Statistics, and Random Processes for Engineers (Paperback)
• Publisher: Pearson Education (US), Upper Saddle River
• Publication Date: 2012
• Language: English
• ISBN 10: 0132311232
• ISBN 13: 9780132311236
• Binding: Paperback
• Edition: 4th Edition
• Condition: new

About this title

Synopsis

For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a useful text for electrical and computer engineers. This book is a comprehensive treatment of probability and random processes that, more than any other available source, combines rigor with accessibility. Beginning with the fundamentals of probability theory and requiring only college-level calculus, the book develops all the tools needed to understand more advanced topics such as random sequences, continuous-time random processes, and statistical signal processing. The book progresses at a leisurely pace, never assuming more knowledge than contained in the material already covered. Rigor is established by developing all results from the basic axioms and carefully defining and discussing such advanced notions as stochastic convergence, stochastic integrals and resolution of stochastic processes.