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Titlebook: Univariate Stable Distributions; Models for Heavy Tai John P. Nolan Textbook 2020 The Editor(s) (if applicable) and The Author(s), under ex

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发表于 2025-3-21 17:13:41 | 显示全部楼层 |阅读模式
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Titlebook: Univariate Stable Distributions; Models for Heavy Tai John P. Nolan Textbook 2020 The Editor(s) (if applicable) and The Author(s), under ex
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
doihttps://doi.org/10.1007/978-3-030-52915-4
isbn_softcover978-3-030-52917-8
isbn_ebook978-3-030-52915-4Series ISSN 1431-8598 Series E-ISSN 2197-1773
issn_series 1431-8598
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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书目名称Univariate Stable Distributions影响因子(影响力)学科排名




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书目名称Univariate Stable Distributions网络公开度学科排名




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书目名称Univariate Stable Distributions被引频次学科排名




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书目名称Univariate Stable Distributions年度引用学科排名




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书目名称Univariate Stable Distributions读者反馈学科排名




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发表于 2025-3-21 23:32:22 | 显示全部楼层
John P. Nolante im Ausland oder die Absicherung eigener Rohstoffquellen. Dieser Prozeß führt gleichzeitig zur Vertiefung der größenspezifischen Strukturdifferenzierung innerhalb des Gesamtkapitals. Immer weniger große Unternehmen stehen einer Vielzahl kleiner und mittlerer Unternehmen gegenüber.
发表于 2025-3-22 03:01:28 | 显示全部楼层
John P. Nolanm Beispiel möglich sein, auf 1 ha Ackerboden den gesamten Weltbedarf an Getreide zu erzeugen. Inzwischen ist das Gesetz für die Landwirtschaft im einzelnen wissenschaftlich überprüft und im wesentlichen durch empirische Untersuchungen bestätigt worden.).
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发表于 2025-3-22 10:14:02 | 显示全部楼层
Textbook 2020 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
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发表于 2025-3-22 20:06:08 | 显示全部楼层
Stable Regression,stributed errors, the OLS solution is the same as the maximum likelihood solution. Although small departures from normality do not affect the model greatly, errors from a heavy tailed distribution will generally result in extreme observations that can greatly affect the estimated OLS regression coefficients.
发表于 2025-3-22 23:37:09 | 显示全部楼层
Basic Properties of Univariate Stable Distributions,Stable distributions are a rich class of probability distributions that allow skewness and heavy tails and have many intriguing mathematical properties. The class was characterized by Paul Lévy in his study of sums of independent identically distributed terms in the 1920s.
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