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Fundamentals of Applied Probability and Random Processes
 
 

Fundamentals of Applied Probability and Random Processes [Hardcover]

Oliver Ibe (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0120885085 978-0120885084 November 2, 2005 1
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.

* 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

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Editorial Reviews

Review

"Each chapter is broken down into small subunits, making this a useful reference book as well as a textbook. The material is presented clearly, and solved problems are included in the text."
--MAA Reviews

Book Description

Provides aspiring engineers with a solid introduction to probability theory and stochastic processes

Product Details

  • Hardcover: 456 pages
  • Publisher: Academic Press; 1 edition (November 2, 2005)
  • Language: English
  • ISBN-10: 0120885085
  • ISBN-13: 978-0120885084
  • Product Dimensions: 9.3 x 7.6 x 1.2 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #153,373 in Books (See Top 100 in Books)

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3 of 4 people found the following review helpful:
5.0 out of 5 stars Excellent self-study book on probability and random process, August 16, 2009
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This review is from: Fundamentals of Applied Probability and Random Processes (Hardcover)
This book is written for professional engineers, and students who wanted to do self-study on probability, and random processes. I have spend money and time in reading several books on this topic and almost all of them not for self-study, lacks real world examples, and finally end of chapter problems are boring with mathematical proofs. Few comments in general about this book are that, concepts are explained by taking real world problems and explained clearly how to model them. Topics are well-balanced; depth of material and explanations are very good, problem sets are intuitive and makes you to think, which makes this book unique and suitable for self-study. Topics which are required for both grad and undergrad courses are covered in this book very well. If you are reading other books and struck applying a concept to a particular problem, you should consider this book. Problem solving is the only way to get familiar with different probability models, and this book full fills that by taking problems in the real world examples as opposed to some theoretical proofs.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
basic combinatorial analysis, postal attendant, crosscovariance functions, special probability distributions, following transition probability matrix, forgetfulness property, eighth box, nondefective items, kth success, crosscorrelation function, system reliability function, two random processes, independent continuous random variables, binomial random variable with parameters, probability that the student, interconnects nodes, elementary set theory, random incidence, same sample space, power spectral density, geometric random variable, autocovariance function, recurrent states, bus arrivals, autocorrelation function
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Solution Let, Problems Section, New York, Conditional Distributions, Basic Combinatorial Analysis, Basic Probability Concepts, Find the Fourier, Solution From Example, Conditional Expectations, Determining Probabilities, Discrete-Time Random Inputs, Dover Publications, Ergodic Random Processes, Multinomial Distributions, Properties of Probability, Solution First, John Wiley, New England
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