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Can I read Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications, 344) on EtoBox?

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications, 344) by Yu. A. Rozanov (auth.) is a nonfiction available to read on EtoBox.

What is Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications, 344) about?

Probability Theory, Theory of Random Processes and Mathematical Statistics are important areas of modern mathematics and its applications. They develop rigorous models for a proper treatment for various 'random' phenomena which we encounter in the real world. They provide us with numerous tools for an analysis, prediction and, ultimately, control of random phenomena. Statistics itself helps with choice of a proper mathematical model (e.g., by estimation of unknown parameters) on the basis of statistical data collected by observations. This volume is intended to be a concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern Probability, Random Processes and Statistics. The first part (Ch. 1-3) can serve as a self-contained, elementary introduction to Probability, Random Processes and Statistics. It contains a number of relatively sim ple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Only knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required here. The second part (Ch. 4-6) provides a foundation of

Who reads Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications, 344)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Yu. A. Rozanov (auth.)
Publisher
Springer Netherlands : Imprint : Springer
Published
1995
Language
EN
ISBN
9789401042017
Category
nonfiction
Subjects
Mathematics, Stem

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