Fundamentals of Applied Probability and Random Processes

Autor Oliver Ibe
en Limba Engleză Hardback – 28 iul 2014
The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the first edition a classic. The title is based on the premise that engineers use probability as a modeling tool, and that probability can be applied to the solution of engineering problems. Engineers and students studying probability and random processes also need to analyze data, and thus need some knowledge of statistics. This book is designed to provide students with a thorough grounding in probability and stochastic processes, demonstrate their applicability to real-world problems, and introduce the basics of statistics. The book's clear writing style and homework problems make it ideal for the classroom or for self-study.

  • Demonstrates concepts with more than 100 illustrations, including 2 dozen new drawings
  • Expands readers’ understanding of disruptive statistics in a new chapter (chapter 8)
  • Provides new chapter on Introduction to Random Processes with 14 new illustrations and tables explaining key concepts.
  • Includes two chapters devoted to the two branches of statistics, namely descriptive statistics (chapter 8) and inferential (or inductive) statistics (chapter 9).
Citește tot Restrânge

Preț: 47482 lei

Preț vechi: 60283 lei

Puncte Express: 712

Preț estimativ în valută:
9090 9649$ 7874£

Carte tipărită la comandă

Livrare economică 07-21 noiembrie

Preluare comenzi: 021 569.72.76


ISBN-13: 9780128008522
ISBN-10: 0128008520
Pagini: 456
Ilustrații: illustrations
Dimensiuni: 191 x 234 x 27 mm
Greutate: 1.01 kg
Ediția:2 Rev ed.

Public țintă

upper level undergrads in engineering, physical sciences, social sciences, finance


1. Basic Probability Concepts2. Random Variables3. Moments of Random Variables4. Special Probability Distributions5. Multiple Random Variables6. Functions of Random Variables7. Transform Methods8. Introduction to Descriptive Statistics9. Introduction to Inferential Statistics10. Introduction to Random Processes11. Linear Systems with Random Inputs12. Special Random Processes
Appendix: Table of CDF of the Standard Normal Random Variable


"...addressed to electrical engineers, but may be considered almost equally well by other professionals and students looking for a suitable self-contained introduction to probability suitable for self-study." --Zentralblatt MATH