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Titlebook: Applied Probability; Kenneth Lange Textbook 20102nd edition The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp

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樓主
發(fā)表于 2025-3-21 17:48:54 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Probability
影響因子2023Kenneth Lange
視頻videohttp://file.papertrans.cn/161/160062/160062.mp4
發(fā)行地址Comprehensive coverage of Applied Probability.Emphasis on concrete calculations and computational methods.Clarity of writing and mathematical explanation.Includes supplementary material:
學科分類Springer Texts in Statistics
圖書封面Titlebook: Applied Probability;  Kenneth Lange Textbook 20102nd edition The Editor(s) (if applicable) and The Author(s), under exclusive license to Sp
影響因子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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Applied Probability978-1-4419-7165-4Series ISSN 1431-875X Series E-ISSN 2197-4136
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Numerical Methods,mmetries supporting exact solutions fade. The current chapter sketches a few of the most promising numerical techniques. Further improvements in computing, statistics, and data management are bound to drive the rapidly growing and disorganized discipline of computational probability for decades to come.
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Springer Texts in Statisticshttp://image.papertrans.cn/b/image/160062.jpg
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