
Fundamentals of Applied Probability and Random Processes
Résumé
This book 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.
Key Features
- Good and solid introduction to probability theory and stochastic processes
- Logically organized; writing is presented in a clear manner
- Choice of topics is comprehensive within the area of probability
- Ample homework problems are organized into chapter sections
L'auteur - Oliver C. Ibe
Professor Oliver Ibe : University of Massachusetts, Lowell, U.S.A.
Sommaire
- Basic Probability Concepts
- Random Variables
- Moments of Random Variables
- Special Probability Distributions
- Multiple Random Variables
- Functions of Random Variables
- Transform Methods
- Introduction to Random Processes
- Linear Systems with Random Inputs
- Some Models of Random Processes
- Introduction to Statistics
- Appendix 1: Table for the CDF of the Standard Normal Random Variable
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Academic Press |
Auteur(s) | Oliver C. Ibe |
Parution | 13/12/2005 |
Nb. de pages | 456 |
Format | 19,5 x 24 |
Couverture | Relié |
Poids | 1060g |
Intérieur | Noir et Blanc |
EAN13 | 9780120885084 |
ISBN13 | 978-0-12-088508-4 |
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