V. S. Pugachev

Probability Theory and Mathematical Statistics for Engineers (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 468
• Erscheinungstermin: 28. Juni 2014
• Englisch
• ISBN-13: 9781483190501
• Artikelnr.: 41056593