Probability Theory with Applications

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Release : 2006-06-03
Genre : Mathematics
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Book Rating : 315/5 ( reviews)

Probability Theory with Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability Theory with Applications write by Malempati M. Rao. This book was released on 2006-06-03. Probability Theory with Applications available in PDF, EPUB and Kindle. This is a revised and expanded edition of a successful graduate and reference text. The book is designed for a standard graduate course on probability theory, including some important applications. The new edition offers a detailed treatment of the core area of probability, and both structural and limit results are presented in detail. Compared to the first edition, the material and presentation are better highlighted; each chapter is improved and updated.

A Modern Approach to Probability Theory

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Release : 2013-11-21
Genre : Mathematics
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Book Rating : 375/5 ( reviews)

A Modern Approach to Probability Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Modern Approach to Probability Theory write by Bert E. Fristedt. This book was released on 2013-11-21. A Modern Approach to Probability Theory available in PDF, EPUB and Kindle. Students and teachers of mathematics and related fields will find this book a comprehensive and modern approach to probability theory, providing the background and techniques to go from the beginning graduate level to the point of specialization in research areas of current interest. The book is designed for a two- or three-semester course, assuming only courses in undergraduate real analysis or rigorous advanced calculus, and some elementary linear algebra. A variety of applications—Bayesian statistics, financial mathematics, information theory, tomography, and signal processing—appear as threads to both enhance the understanding of the relevant mathematics and motivate students whose main interests are outside of pure areas.

Probability

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Release : 2010-08-30
Genre : Mathematics
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Book Rating : 13X/5 ( reviews)

Probability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Probability write by Rick Durrett. This book was released on 2010-08-30. Probability available in PDF, EPUB and Kindle. This classic introduction to probability theory for beginning graduate students covers laws of large numbers, central limit theorems, random walks, martingales, Markov chains, ergodic theorems, and Brownian motion. It is a comprehensive treatment concentrating on the results that are the most useful for applications. Its philosophy is that the best way to learn probability is to see it in action, so there are 200 examples and 450 problems. The fourth edition begins with a short chapter on measure theory to orient readers new to the subject.

Elementary Applications of Probability Theory

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Release : 2018-02-06
Genre : Mathematics
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Book Rating : 959/5 ( reviews)

Elementary Applications of Probability Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Elementary Applications of Probability Theory write by Henry C. Tuckwell. This book was released on 2018-02-06. Elementary Applications of Probability Theory available in PDF, EPUB and Kindle. This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological sciences and engineering. The first chapter contains a summary of basic probability theory. Chapters two to five deal with random variables and their applications. Topics covered include geometric probability, estimation of animal and plant populations, reliability theory and computer simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and the weak law of numbers. The next four chapters introduce random processes, including random walks and Markov chains illustrated by examples in population genetics and population growth. This edition also includes two chapters which introduce, in a manifestly readable fashion, the topic of stochastic differential equations and their applications.

Basic Probability Theory with Applications

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Release : 2009-10-03
Genre : Mathematics
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Book Rating : 950/5 ( reviews)

Basic Probability Theory with Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Basic Probability Theory with Applications write by Mario Lefebvre. This book was released on 2009-10-03. Basic Probability Theory with Applications available in PDF, EPUB and Kindle. The main intended audience for this book is undergraduate students in pure and applied sciences, especially those in engineering. Chapters 2 to 4 cover the probability theory they generally need in their training. Although the treatment of the subject is surely su?cient for non-mathematicians, I intentionally avoided getting too much into detail. For instance, topics such as mixed type random variables and the Dirac delta function are only brie?y mentioned. Courses on probability theory are often considered di?cult. However, after having taught this subject for many years, I have come to the conclusion that one of the biggest problems that the students face when they try to learn probability theory, particularly nowadays, is their de?ciencies in basic di?erential and integral calculus. Integration by parts, for example, is often already forgotten by the students when they take a course on probability. For this reason, I have decided to write a chapter reviewing the basic elements of di?erential calculus. Even though this chapter might not be covered in class, the students can refer to it when needed. In this chapter, an e?ort was made to give the readers a good idea of the use in probability theory of the concepts they should already know. Chapter 2 presents the main results of what is known as elementary probability, including Bayes’ rule and elements of combinatorial analysis.