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

Edition	1st ed. 2023.
Publisher	(Cham : Springer Nature Switzerland : Imprint: Springer)
Year	2023
Language	English
Size	IX, 92 p : online resource
Authors	*Leipus, Remigijus author Šiaulys, Jonas author Konstantinides, Dimitrios author SpringerLink (Online service)
Subjects	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
Notes	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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