Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition

Schaum's Outline of Probability, Random Variables, and Random Processes, Fourth Edition
Author: Hwei P. Hsu
Publisher: McGraw Hill Professional
Total Pages: 352
Release: 2019-10-22
Genre: Study Aids
ISBN: 1260453820

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there’s Schaum’s. 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. Schaum’s Outline of Probability, Random Variables, and Random Processes, Fourth Edition is packed with hundreds of examples, solved problems, and practice exercises to test your skills. This updated guide approaches the subject in a more concise, ordered manner than most standard texts, which are often filled with extraneous material. Schaum’s Outline of Probability, Random Variables, and Random Processes, Fourth Edition features: • 405 fully-solved problems • 22 problem-solving videos • An accessible review of probability and statistics concepts • Clear, concise explanations of probability, random variables, and random processes • Content supplements the major leading textbooks in probability and statistics • Content that is appropriate for Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics courses PLUS: Access to the revised Schaums.com website and new app, containing 22 problem-solving videos, and more. Schaum’s reinforces the main concepts required in your course and offers hundreds of practice exercises to help you succeed. Use Schaum’s to shorten your study time—and get your best test scores! Schaum’s Outlines—Problem solved.

Schaum's Outline of Probability and Statistics, 4th Edition

Schaum's Outline of Probability and Statistics, 4th Edition
Author: Murray R. Spiegel
Publisher: McGraw Hill Professional
Total Pages: 434
Release: 2013
Genre: Juvenile Nonfiction
ISBN: 007179557X

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A study-guide to probability and statistics that includes coverage of course concepts and 897 fully solved problems.

Schaum's Outline of Theory and Problems of Probability

Schaum's Outline of Theory and Problems of Probability
Author: Seymour Lipschutz
Publisher:
Total Pages: 153
Release: 1974
Genre: Mathematical statistics
ISBN: 9780070843776

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For an introductory course in probability with high school algebra the only prerequisite.

Schaum's Outlines

Schaum's Outlines
Author: Hwei P. Hsu
Publisher:
Total Pages: 0
Release: 2019
Genre: Probabilities
ISBN:

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"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."--Publisher's description.

Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition

Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition
Author: Hwei Hsu
Publisher: McGraw Hill Professional
Total Pages: 434
Release: 2010-08-27
Genre: Mathematics
ISBN: 0071632905

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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

Schaum's Outline of Probability, Random Variables, and Random Processes, 3rd Edition

Schaum's Outline of Probability, Random Variables, and Random Processes, 3rd Edition
Author: Hwei Hsu
Publisher: McGraw-Hill Education
Total Pages: 352
Release: 2014-03-12
Genre: Mathematics
ISBN: 9780071822985

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Tough Test Questions? Missed Lectures? Not Enough Time? Fortunately, there's Schaum's. This all-in-one-package includes more than 400 fully solved problems, examples, and practice exercises to sharpen your problem-solving skills. Plus, you will have access to 20 detailed videos featuring instructors who explain the most commonly tested problems--it's just like having your own virtual tutor! You'll find everything you need to build confidence, skills, and knowledge for the highest score possible. 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 405 fully solved problems Clear, concise explanations of all probability, variables, and processes concepts Support for all the major textbooks in the subject areas 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.

Intuitive Probability and Random Processes using MATLAB®

Intuitive Probability and Random Processes using MATLAB®
Author: Steven Kay
Publisher: Springer Science & Business Media
Total Pages: 838
Release: 2006-03-20
Genre: Technology & Engineering
ISBN: 0387241582

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Intuitive Probability and Random Processes using MATLAB® is an introduction to probability and random processes that merges theory with practice. Based on the author’s belief that only "hands-on" experience with the material can promote intuitive understanding, the approach is to motivate the need for theory using MATLAB examples, followed by theory and analysis, and finally descriptions of "real-world" examples to acquaint the reader with a wide variety of applications. The latter is intended to answer the usual question "Why do we have to study this?" Other salient features are: *heavy reliance on computer simulation for illustration and student exercises *the incorporation of MATLAB programs and code segments *discussion of discrete random variables followed by continuous random variables to minimize confusion *summary sections at the beginning of each chapter *in-line equation explanations *warnings on common errors and pitfalls *over 750 problems designed to help the reader assimilate and extend the concepts Intuitive Probability and Random Processes using MATLAB® is intended for undergraduate and first-year graduate students in engineering. The practicing engineer as well as others having the appropriate mathematical background will also benefit from this book. About the Author Steven M. Kay is a Professor of Electrical Engineering at the University of Rhode Island and a leading expert in signal processing. He has received the Education Award "for outstanding contributions in education and in writing scholarly books and texts..." from the IEEE Signal Processing society and has been listed as among the 250 most cited researchers in the world in engineering.