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:
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
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Paperback. Etat : Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0071632891I3N10
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Vendeur : ThriftBooks-Atlanta, AUSTELL, GA, Etats-Unis
Paperback. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. N° de réf. du vendeur G0071632891I3N00
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Vendeur : WorldofBooks, Goring-By-Sea, WS, Royaume-Uni
Paperback. Etat : Very Good. 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-Loeve 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. N° de réf. du vendeur GOR004358476
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