| 期刊全称 | Applied Probability | | 影响因子2023 | Kenneth Lange | | 视频video | | | 发行地址 | Comprehensive coverage of Applied Probability.Emphasis on concrete calculations and computational methods.Clarity of writing and mathematical explanation.Includes supplementary material: | | 学科分类 | Springer Texts in Statistics | | 图书封面 |  | | 影响因子 | Ap.plied 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 | | Pindex | Textbook 20102nd edition |
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发表于 2025-3-21 17:48:54
