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

ISBN: 9780071632898 | 0071632891

Edition: 2nd
Format: Paperback
Publisher: McGraw-Hill
Pub. Date: 8/2/2010

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Summary Table of Contents Author Biography

Study faster, learn better, and get top gradesModified to conform to the current curriculum,Schaum's Outline of Probability, Random Variables, and Random Processescomplements 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... MORE Karhunen-Lo�ve 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 StatisticsFeatures: 405 solved problems Additional material on distributions, the Markov Process, and Martingales Support for all the major textbooks for probability, variables, and processes coursesTopics 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

This ideal review for electrical engineering college students covers probability, random variable, functions of random variables, and more.

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. This textbook 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-Lo�ve 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

1. Probability2. Random Variables 3. Multiple Random Variables4. Functions of Random Variables, Expectation, Limit Theorems5. Random Processes6. Analysis and Processing of Random Processes7. Estimation Theory8. Decision Theory9. Queueing Theory

Author Profile
Hwei P. Hsu was Professor of Electrical Engineering at Fairleigh Dickinson University. He received his B.S. from National Taiwan University and M.S. and Ph.D. from Case Institute of Technology. He has published several books which include Schaum's Outline of Analog and Digital Communications and Schaum's Outline of Signals and Systems.

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

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