Convergence of Probability Measures 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Convergence of Probability Measures

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Patrick Billingsley 作者
Wiley-Interscience
译者
1999-7-30 出版日期
296 页数
USD 173.00 价格
Hardcover
Wiley Series in Probability and Statistics 丛书系列
9780471197454 图书编码

Convergence of Probability Measures 在线电子书 图书标签: 数学  概率论  概率  概率统计  probability  Mathematics  math  Statistics   


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Convergence of Probability Measures 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Convergence of Probability Measures 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Convergence of Probability Measures 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Convergence of Probability Measures 在线电子书 著者简介


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Convergence of Probability Measures 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

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Review

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The book is a classic--it is almost an insult to review it. This second edition will, probably and rightly, be urged on today's research students by their predecessors, now their supervisors, who derived so much from the first edition. As the author says, 30 years ago the book would take the aspiring researcher to the forefront. Now, with the huge development over these years, it just provides an initial grounding, though no less essential. (The Statistician 49 (3) 2000)

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...it seems destined to become another clasic and is of interest even to those who already own the first edition. (Zentralblatt Math, Volume 944, No 19, 2000)

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Product Description

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A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit theory in metric spaces. He incorporates many examples and applications that illustrate the power and utility of this theory in a range of disciplines-from analysis and number theory to statistics, engineering, economics, and population biology. With an emphasis on the simplicity of the mathematics and smooth transitions between topics, the Second Edition boasts major revisions of the sections on dependent random variables as well as new sections on relative measure, on lacunary trigonometric series, and on the Poisson-Dirichlet distribution as a description of the long cycles in permutations and the large divisors of integers. Assuming only standard measure-theoretic probability and metric-space topology, Convergence of Probability Measures provides statisticians and mathematicians with basic tools of probability theory as well as a springboard to the "industrial-strength" literature available today.

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