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Probability, Statistics, and Random Processes for Engineers

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ISBN-10: 0534368883

ISBN-13: 9780534368883

Edition: 2003

Authors: Richard H. Williams

List price: $179.95
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This book focuses on teaching probabilistic and statistical methods to upper-division electrical and computer engineering (EECE) students. It is the result of over 20 years of teaching this course in the rapidly changing environment of EECE education. In addition to being a readable and focused book for EECE students, the book is a teachable book for EECE instructors with a variety of technical backgrounds. The first part of the book, Chapters 1-3, contains fundamental probability material. The second part, Chapters 4-7, presents applications and extensions based upon the first three chapters. The four application chapters may be studied in any order, as they do not depend on each other in…    
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Book details

List price: $179.95
Copyright year: 2003
Publisher: Course Technology
Publication date: 12/20/2002
Binding: Hardcover
Pages: 480
Size: 7.50" wide x 9.25" long x 0.75" tall
Weight: 1.694
Language: English

Probability
Why Probability?
General Outline of This Chapter
Probability Calculations
Summary
Exercises
Using the Computer
Single Random Variables
Introduction
General Outline of This Chapter
Probability Models
Expectations
Characteristic Functions
Functions of Single Random Variables
Conditioned Random Variables
Summary
Exercises
Using the Computer
Multiple Random Variables
Introduction
General Outline of This Chapter
Bivariate Cumulative and Density Functions
Bivariate Expectations
Bivariate Transformations
Gaussian Bivariate Random Variables
Sums of Two Independent Random Variables
Sums of IID Random Variables
Conditional Joint Probabilities
Selected Topics
Summary
Exercises
Using the Computer
Random Processes
Introduction
An Ensemble
Probability Density Functions
Independence
Expectations
Stationarity
Correlation Functions
Ergodic Random Processes
Power Spectral Densities
Linear Systems
Noise
Matched Filters
Least-Mean-Square Filters
Summary
Exercises
Using the Computer
Statistical Inferences and Confidence
Introduction
The Maximum Likelihood Technique
Estimation of Mean and Variance
Summary
Exercises
Using the Computer
Random Countable Events
Introduction
Poisson Random Variables
Erlang Random Variables
Queuing
Summary
Exercises
Using the Computer
Reliability
Introduction
Reliability
Failure Rates
System Reliability
The Weibull Model
Accelerated Life Testing
Summary
Exercises
Using the Computer
Appendixes
Selected Probability Models
A Brief Review of Counting Techniques
A Uniform Random Number Generator
Normalized Gaussian Random Variables
Unit-Step and Unit-Impulse Functions
Statistics and Sample Data
A Central Limit Theorem
Tables: Chi-Square and Student's t
Wiener-Khinchin Relations
Answers to Selected Exercises
Index