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Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications)
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Y.A. Rozanov 作者
Springer
譯者
1995-11 出版日期
266 頁數
USD 213.00 價格
Hardcover
叢書系列
9780792337645 圖書編碼

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Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 著者簡介

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 著者簡介

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Probability Theory, Random Processes and Mathematical Statistics (Mathematics and Its Applications) 在線電子書 圖書描述

The study of random phenomena encountered in the real world is based on probability theory, mathematical statistics and the theory of random processes. The choice of the most suitable mathematical model is made on the basis of statistical data collected by observations. These models provide numerous tools for the analysis, prediction and, ultimately, control of random phenomena. The first part of the present volume (Chapters 1-3) can serve as a self-contained, elementary introduction to probability, random processes and statistics. It contains a number of relatively simple and typical examples of random phenomena which allow a natural introduction of general structures and methods. Some basic knowledge of elements of real/complex analysis, linear algebra and ordinary differential equations is required. The second part (Chapters 4-6) provides a foundation for stochastic analysis, gives information on basic models of random processes and tools to study them. A certain familiarity with elements of functional analysis is necessary. Important material is presented in the form of examples to keep readers involved. Audience: A concise textbook for a graduate level course, with carefully selected topics representing the most important areas of modern probability, random processes and statistics.

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