Ebook BookApplied Probability (Springer Texts in Statistics)

[Download PDF.Zu4p] Applied Probability (Springer Texts in Statistics)



[Download PDF.Zu4p] Applied Probability (Springer Texts in Statistics)

[Download PDF.Zu4p] Applied Probability (Springer Texts in Statistics)

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Book Details :
Published on: 2010-08-31
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Original language: English
[Download PDF.Zu4p] Applied Probability (Springer Texts in Statistics)

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology, computer science, physics, and statistics. Readers should have a working knowledge of multivariate calculus, linear algebra, ordinary differential equations, and elementary probability theory. Chapter 1 reviews elementary probability and provides a brief survey of relevant results from measure theory.  Chapter 2 is an extended essay on calculating expectations. Chapter 3 deals with probabilistic applications of convexity, inequalities, and optimization theory. Chapters 4 and 5 touch on combinatorics and combinatorial optimization. Chapters 6 through 11 present core material on stochastic processes. If supplemented with appropriate sections from Chapters 1 and 2, there is sufficient material for a traditional semester-long course in stochastic processes covering the basics of Poisson processes, Markov chains, branching processes, martingales, and diffusion processes. The second edition adds two new chapters on asymptotic and numerical methods and an appendix that separates some of the more delicate mathematical theory from the steady flow of examples in the main text. Besides the two new chapters, the second edition includes a more extensive list of exercises, many additions to the exposition of combinatorics, new material on rates of convergence to equilibrium in reversible Markov chains, a discussion of basic reproduction numbers in population modeling, and better coverage of Brownian motion. Because many chapters are nearly self-contained, mathematical scientists from a variety of backgrounds will find Applied Probability useful as a reference Books in the Mathematical Sciences This site is intended as a resource for university students in the mathematical sciences. Books are recommended on the basis of readability and other pedagogical value. Applied Predictive Modeling: 9781461468486: Medicine ... I read "Applied predictive modeling" (which I will shorten to APM) shortly after I read "Introduction to statistical learning" (ISL) by James Witten Hastie and ... Statistics - Wikipedia Statistics is a branch of mathematics dealing with the collection analysis interpretation presentation and organization of data. In applying statistics to e.g ... What is the best introductory Bayesian statistics textbook? Which is the best introductory textbook for Bayesian statistics? One book per answer please. Dr. Arsham's Statistics Site - home.ubalt.edu The Birth of Probability and Statistics The original idea of"statistics" was the collection of information about and for the"state". The word statistics derives ... Applied Mathematics - Free E-Books Applied Mathematics - list of freely downloadable books at E-Books Directory Mathematics Series M - Z from Springer Mathematics - Books Journals Series Textbooks Reference Works Electronic Media from Springer Home - Springer Providing researchers with access to millions of scientific documents from journals books series protocols and reference works. Econometrics Books This webpage provides recommendations for econometrics books. Options for undergraduate econometrics graduate econometrics and other fields are provided. The other ... Statistics Springer On these pages you will find Springers journals books and eBooks in all areas of Statistics serving researchers professionals lecturers and students.
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