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Kenneth Lange - Applied Probability - 9781441971647 - V9781441971647
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Applied Probability

€ 178.82
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Description for Applied Probability Hardback. With new chapters on asymptotic and numerical methods, as well as an appendix on the finer points of the mathematical theory, this second edition emphasizes mathematical modeling, computational techniques, and examples from the biological sciences Series: Springer Texts in Statistics. Num Pages: 452 pages, biography. BIC Classification: KCHS. Category: (G) General (US: Trade). Dimension: 234 x 156 x 25. Weight in Grams: 1790.
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 ... Read more

Product Details

Format
Hardback
Publication date
2010
Publisher
Springer-Verlag New York Inc. United States
Number of pages
452
Condition
New
Series
Springer Texts in Statistics
Number of Pages
436
Place of Publication
New York, NY, United States
ISBN
9781441971647
SKU
V9781441971647
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Kenneth Lange
Kenneth Lange is the Rosenfeld Professor of Computational Genetics in the Departments of Biomathematics and Human Genetics at the UCLA School of Medicine and the Chair of the Department of Human Genetics. His research interests include human genetics, population modeling, biomedical imaging, computational statistics, high-dimensional optimization, and applied stochastic processes. Springer previously published his books Mathematical and Statistical Methods for ... Read more

Reviews for Applied Probability
From the reviews of the second edition: “Like the first edition, the new edition presents additional probability background material with applications to graduate students studying mathematical statistics, mathematical biology, engineering and applied mathematics. … one important feature of this edition is that it includes a more extensive list of exercises. I think both instructors and students will appreciate this ... Read more

Goodreads reviews for Applied Probability


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