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Product Description
Product Description
Study faster, learn better, and get top grades
Modified to conform to the current curriculum, Schaum's Outline of Probability, Random Variables, and Random Processes complements these courses in scope and sequence to help you understand its basic concepts. The book offers extra practice on topics such as bivariate random variables, joint distribution functions, moment generating functions, Poisson processes, Wiener processes, power spectral densities, and white noise. You'll also get coverage of linear systems to random outputs, Fourier series and Karhunen-Loéve expansions, Fourier transform of random processes, parameter estimation, Bayes' estimation, and mean square estimation. Appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics
Features:
- 405 solved problems
- Additional material on distributions, the Markov Process, and Martingales
- Support for all the major textbooks for probability, variables, and processes courses
Topics include: Probability, Random Variables, Multiple Random Variables, Functions of Random Variables, Expectation, Limit Theorems, Random Processes, Analysis and Processing of Random Processes, Estimation Theory, Decision Theory, Queueing Theory
Book Description
Confusing Textbooks? Missed Lectures? Not Enough Time?
Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.
This Schaum's Outline gives you
- Practice problems with full explanations that reinforce knowledge
- Coverage of the most up-to-date developments in your course field
- In-depth review of practices and applications
Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!
Schaum's Outlines-Problem Solved.
--This text refers to an alternate Paperback edition.
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Customer Reviews
Most Helpful Customer Reviews
15 of 16 people found the following review helpful
Format:Paperback
This book provides a very solid structure upon which to build statistical understanding. It outlines very shortly without any extra unnecessary comments, the basics and also the advanced elements of statistical probability and statistical inference. The book is structured with a very easy to follow system. The theory and ideas are explained and to follow come the worked examples to further reinforce the material covered. The book begins with probability theory, random variables and random processes to build a solid background information to be able to cover statistical inference topics, mainly estimation theory, decision theory and queuing theory. The aspects of statistical inference are very complicated and usually a textbook would bring some understanding, but to be able to solve problems and know how to apply for example parameter estimation methods, one needs to be supplied with sufficient amount of examples, which this book certainly has. Multiple random variables are also covered and a very good coverage of the mathematical techniques required is displayed, though these techniques are not concentrated on in this book, thus the basic knowledge of integration and differentiation will be required to understand the mathematical concepts involved. The decision theory is the part that disappointed me the most. The basic techniques are shown and some hypothesis tests are explained, the examples that follow are useful but it really does not cover many parts of the decision theory. For example it does not provide hypothesis tests for population that do not follow the normal distributions, tests such as non-parametric or simply populations whose variance is unknown and the t-distribution is required. These are tests that I believe should have been included since it is within the scope of the book, and after the build up of all the estimation theory these tests are useful in enforcing the use of the theory. Nevertheless the hypothesis tests provided are very good and well explained. Overall this book is very good for some extra practice whilst revising for an exam, or a good outline reference for statistical courses, it by all means does not cover the material in full, but provides very good and concise outline of the main ideas.
Format:Paperback
If like me you have no prior maths experience whatsoever and want to be able to read and understand some of the more advanced under-grad/grad text's on Prob/Random Variables and Stochastic Processes then this book is ideal.. The subject is taught in a concise manner from the ground up assuming very little or no prior knowledge..there are plenty of worked examples which help glide you through your learning.. As suggested in other reviews, use this book alone first or as a companion text to understanding books such as [Probability, Random Variables and Stochastic Processes - Athanasios Papoulis;] Again, I went from no knowledge to undergraduate level in about 3 weeks (and I'm really stupid).. Enjoy!!
2 of 4 people found the following review helpful
Format:Paperback
This book has many exercises with answers/solutions to each and every exercise covering a wide range of topics from probability. The book, however, should be used along with an appropriate probability textbook. An excellent companion to Hsu's book is the introductory text by Henk Tijms. This book contains many worked-out examples and exercises as well, but also explains why probability works and how it can be applied in practice. As engineering student, I learned a lot by using both books.
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