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Schaum's Outline of Probability, Random Variables, and Random Processes Upplaga 2
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. This book is appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics. It features: 405 solved problems, and additional material on distributions, the Markov Process, and Martingales. It offers support for all the major textbooks for probability, variables, and processes courses.Topics covered 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, and Queueing Theory.
Upplaga: 2a upplagan
Utgiven: 2014
ISBN: 9780071632898
Förlag: McGraw-Hill Education
Format: Häftad
Språk: Engelska
Sidor: 432 st
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. This book is appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics. It features: 405 solved problems, and additional material on distributions, the Markov Process, and Martingales. It offers support for all the major textbooks for probability, variables, and processes courses.Topics covered 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, and Queueing Theory.
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