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Closure Properties for Heavy-Tailed and Related Distributions : An Overview / by Remigijus Leipus, Jonas Šiaulys, Dimitrios Konstantinides
(SpringerBriefs in Statistics. ISSN:21915458)

1st ed. 2023.
出版者 (Cham : Springer Nature Switzerland : Imprint: Springer)
出版年 2023
本文言語 英語
大きさ IX, 92 p : online resource
著者標目 *Leipus, Remigijus author
Šiaulys, Jonas author
Konstantinides, Dimitrios author
SpringerLink (Online service)
件 名 LCSH:Probabilities
LCSH:Distribution (Probability theory)
LCSH:Stochastic models
LCSH:Actuarial science
FREE:Applied Probability
FREE:Distribution Theory
FREE:Probability Theory
FREE:Stochastic Modelling in Statistics
FREE:Actuarial Mathematics
一般注記 This book provides a compact and systematic overview of closure properties of heavy-tailed and related distributions, including closure under tail equivalence, convolution, finite mixing, maximum, minimum, convolution power and convolution roots, and product-convolution closure. It includes examples and counterexamples that give an insight into the theory and provides numerous references to technical details and proofs for a deeper study of the subject. The book will serve as a useful reference for graduate students, young researchers, and applied scientists
HTTP:URL=https://doi.org/10.1007/978-3-031-34553-1
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電子ブック オンライン 電子ブック

Springer eBooks 9783031345531
電子リソース
EB00224141

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データ種別 電子ブック
分 類 LCC:QA273.A1-274.9
DC23:519
書誌ID 4001072037
ISBN 9783031345531

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