# Probability and stochastic processes: a friendly introduction for electrical and computer engineers

John Wiley & Sons, 2005 - Mathematics - 519 pages
This user-friendly resource will help you grasp the concepts of probability and stochastic processes, so you can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems.

Key Features:
• The text follows a single model that begins with an experiment consisting of a procedure and observations.
• The mathematics of discrete random variables appears separately from the mathematics of continuous random variables.
• Stochastic processes are introduced in Chapter 6, immediately after the presentation of discrete and continuous random variables. Subsequent material, including central limit theorem approximations, laws of large numbers, and statistical inference, then use examples that reinforce stochastic process concepts.
• An abundance of exercises are provided that help students learn how to put the theory to use.

### What people are saying -Write a review

User Review - Flag as inappropriate

i do not understand how a school can use this book as a so called teaching aid. There are very few examples and no answers to the homework problems. There is a quiz for each section that actually has answers on the publishers website. If you need something to level a table or kill a bug, this is the book for you. If you need a book with many examples and these new things called "answers", then look elsewhere. also, it is too bad i had to give this book one star instead of the zero it deserved.

#### Review: Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers

User Review  - Vignesh Kannan - Goodreads

Yet to start Read full review

### Contents

 Experiments Models and Probabilities 1 Discrete Random Variables 49