Probability Theory and Mathematical Statistics for Engineers

Nonfiction, Science & Nature, Mathematics, Applied, Statistics
Cover of the book Probability Theory and Mathematical Statistics for Engineers by V. S. Pugachev, Elsevier Science
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Author: V. S. Pugachev ISBN: 9781483190501
Publisher: Elsevier Science Publication: June 28, 2014
Imprint: Pergamon Language: English
Author: V. S. Pugachev
ISBN: 9781483190501
Publisher: Elsevier Science
Publication: June 28, 2014
Imprint: Pergamon
Language: English

Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables.

The book underscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus on canonical expansions of random vectors, second-order moments of random vectors, generalization of the density concept, entropy of a distribution, direct evaluation of probabilities, and conditional probabilities. The text then examines projections of random vectors and their distributions, including conditional distributions of projections of a random vector, conditional numerical characteristics, and information contained in random variables.

The book elaborates on the functions of random variables and estimation of parameters of distributions. Topics include frequency as a probability estimate, estimation of statistical characteristics, estimation of the expectation and covariance matrix of a random vector, and testing the hypotheses on the parameters of distributions. The text then takes a look at estimator theory and estimation of distributions.

The book is a vital source of data for students, engineers, postgraduates of applied mathematics, and other institutes of higher technical education.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Probability Theory and Mathematical Statistics for Engineers focuses on the concepts of probability theory and mathematical statistics for finite-dimensional random variables.

The book underscores the probabilities of events, random variables, and numerical characteristics of random variables. Discussions focus on canonical expansions of random vectors, second-order moments of random vectors, generalization of the density concept, entropy of a distribution, direct evaluation of probabilities, and conditional probabilities. The text then examines projections of random vectors and their distributions, including conditional distributions of projections of a random vector, conditional numerical characteristics, and information contained in random variables.

The book elaborates on the functions of random variables and estimation of parameters of distributions. Topics include frequency as a probability estimate, estimation of statistical characteristics, estimation of the expectation and covariance matrix of a random vector, and testing the hypotheses on the parameters of distributions. The text then takes a look at estimator theory and estimation of distributions.

The book is a vital source of data for students, engineers, postgraduates of applied mathematics, and other institutes of higher technical education.

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