GUBNER PROBABILITY AND RANDOM PROCESSES PDF

John A. Gubner received his PhD in from the University of Maryland, College Park, after which he joined the University of Wisconsin, Madison, where he is currently a faculty member in the Department of Electrical and Computer Engineering. His research interests include ultra-wideband communications, point processes and shot noise, subspace methods in statistical processing, and information theory. The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop. The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level.

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Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? The theory of probability is a powerful tool that helps electrical and computer engineers to explain, model, analyze, and design the technology they develop.

The text begins at the advanced undergraduate level, assuming only a modest knowledge of probability, and progresses through more complex topics mastered at graduate level. The first five chapters cover the basics of probability and both discrete and continuous random variables. The later chapters have a more specialized coverage, including random vectors, Gaussian random vectors, random processes, Markov Chains, and convergence. Describing tools and results that are used extensively in the field, this is more than a textbook; it is also a reference for researchers working in communications, signal processing, and computer network traffic analysis.

With over worked examples, some homework problems, and sections for exam preparation, this is an essential companion for advanced undergraduate and graduate students. Further resources for this title, including solutions for instructors only , are available online at www.

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Introduction to Probability, 2nd Edition. Dimitri P. Probability and Random Processes. Introduction to Probability, Statistics, and Random Processes. Hossein Pishro-Nik. Probability, random variables, and stochastic processes McGraw-Hill series in electrical engineering. Athanasios Papoulis. Register a free business account. Review "Probability and Random Processes for Electrical and Computer Engineers stands alone as a textbook that encourages readers to work through and obtain working knowledge of probability and random processes.

The text progresses from the advanced undergraduate level through to more complex topics suitable for graduates. With over worked examples, some homework problems and sections for exam preparation, this is an essential textbook for advanced undergraduate and graduate students and reference material for researchers.

About the Author John A. Gubner received his PhD in from the University of Maryland, College Park, after which he joined the University of Wisconsin, Madison, where he is currently a faculty member in the Department of Electrical and Computer Engineering. His research interests include ultra-wideband communications, point processes and shot noise, subspace methods in statistical processing, and information theory. Read more.

Customer reviews. How does Amazon calculate star ratings? The model takes into account factors including the age of a rating, whether the ratings are from verified purchasers, and factors that establish reviewer trustworthiness.

Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Verified Purchase. This book is very effective in bringing out important concepts and applying the methods it teaches. The presentation of material is concise and intuitive, and the examples help flesh out the concepts.

The exercises are helpful, with many "show this is true" type of problems that are still simple enough to be doable, but still stretching your understanding of the concepts. The exam preparation sections at the end of each chapter are incredibly helpful. The subject itself is already difficult for most.

It does an ok job. It was required for my course so, there wasn't really a choice. This book is very helpful! I really love it. The papers and the cover are of very good quality. It's perfect and really helpful. There are notes and scribbles in several pages.

The book is confusing and hard to follow. The book is required for the class, but I typically use other resources for my information. I'm surprised that the delivery to New Zealand is very quick, even quicker then the projected date that has been made by Amazon in advance. Gubner provides an excellent text for undergrads or grads wanting a solid background in applying the ideas of probability and random processes.

The emphasis is on applications in electrical engineering. The book presupposes a solid background in calculus and some circuit theory. Ideally, the student might be a third year undergrad or higher. The main ideas in probability are developed. Getting to the Central Limit Theorem and the Gaussian bell curve. The probability distributions most useful to you might be the continuous ones. Then, the text develops the ideas of random processes. When these can be assumed to be stationary, then it makes tractable vast areas of applications, as in the communications theory of the signal to noise ratio of a channel.

The book shines as a text for a university course because of the wealth of examples and problem sets. The difficult of the latter varies considerably, which is also another advantage to a lecturer facing students with a range of abilities.

This is an excellent book on probability. What I liked about it is the fact that it is sprinkled with numeours examples. The language the author has used is also easy to understand but at the same time, formal. It really strikes the balance. However, I think there should be more explanation of combinatorics in ch2. But if a person has had some prior knowledge of probability, they should refer to some other book for that portion. See all reviews from the United States.

Top international reviews. I have just bought this book a couple of weeks ago, it is a new title from Cambridge. Why another book about this topic? I have asked this to myself but after reading parts and skimming the rest I can give 5 stars.

I do like the approach taken by the author, who has a friendly style, made a wise choice of topics, and follows a logical progression with liberal sprinkling of examples including numerical through the text.

Only useful mathematics are introduced and the text is self-contained at the upper-undergraduate level in applied mathematics. This will be a very good book for me to keep for reference in my library. Thank you for your feedback. Sorry, we failed to record your vote. Please try again. This book seems to be an endless resource. Now several years after I bought it I still return, for reference, re-reading, and for new things I skipped the first time. Every basic topic in probability theory is found here, and there are strikingly few errors.

The reader is assumed to know linear algebra, infinite series, and calculus of several variables. The book is typographically perfect. Gubners theory centric approach is frustrating at times.

As an example the Poisson variable is defined at page 69, with no mention of it's origin in the exponential distribution. On page 81 it's expectation is calculated, and on page in the section about probability generating functions, it's variance is found. This is Gubners way! The first time you read the book, it's the perfect choice. When used as a reference, it's less so.

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