书目名称 | Univariate Stable Distributions | 副标题 | Models for Heavy Tai | 编辑 | John P. Nolan | 视频video | | 概述 | Introduces the theory, numerical algorithms, and statistical methods associated with stable distributions with an accessible, non-technical approach.Highlights the many practical applications of stabl | 丛书名称 | Springer Series in Operations Research and Financial Engineering | 图书封面 |  | 描述 | This textbook highlights the many practical uses of stable distributions, exploring the theory, numerical algorithms, and statistical methods used to work with stable laws. Because of the author’s accessible and comprehensive approach, readers will be able to understand and use these methods. Both mathematicians and non-mathematicians will find this a valuable resource for more accurately modelling and predicting large values in a number of real-world scenarios..Beginning with an introductory chapter that explains key ideas about stable laws, readers will be prepared for the more advanced topics that appear later. The following chapters present the theory of stable distributions, a wide range of applications, and statistical methods, with the final chapters focusing on regression, signal processing, and related distributions. Each chapter ends with a number of carefully chosen exercises. Links to free software are included as well, where readers can put these methods into practice..Univariate Stable Distributions. is ideal for advanced undergraduate or graduate students in mathematics, as well as many other fields, such as statistics, economics, engineering, physics, and more. It w | 出版日期 | Textbook 2020 | 关键词 | Stable distributions; Univariate stable distributions; Heavy tailed data; Heavy tailed data distributio | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-52915-4 | isbn_softcover | 978-3-030-52917-8 | isbn_ebook | 978-3-030-52915-4Series ISSN 1431-8598 Series E-ISSN 2197-1773 | issn_series | 1431-8598 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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