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Analyzing Dependent Data with Vine Copulas: A Practical Guide With R (Repost)

Posted By: AvaxGenius
Date: 12 Mar 2022 04:00:54
Analyzing Dependent Data with Vine Copulas: A Practical Guide With R (Repost)

Analyzing Dependent Data with Vine Copulas: A Practical Guide With R by Claudia Czado
English | EPUB | 2019 | 244 Pages | ISBN : 3030137848 | 18.6 MB

This textbook provides a step-by-step introduction to the class of vine copulas, their statistical inference and applications. It focuses on statistical estimation and selection methods for vine copulas in data applications. These flexible copula models can successfully accommodate any form of tail dependence and are vital to many applications in finance, insurance, hydrology, marketing, engineering, chemistry, aviation, climatology and health.
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They Knew: The US Federal Governments Fifty-Year Role in Causing the Climate Crisis

Posted By: l3ivo
Date: 21 Oct 2021 19:09:04
They Knew: The US Federal Governments Fifty-Year Role in Causing the Climate Crisis

James Gustave Speth, Julia Olson, Philip Gregory, "They Knew: The US Federal Governments Fifty-Year Role in Causing the Climate Crisis"
English | 2021 | ISBN: 0262542986 | 304 pages | AZW3 | 1.3 MB
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Applications of the Universal Thermal Climate Index UTCI in Biometeorology: Latest Developments and Case Studies

Posted By: AvaxGenius
Date: 12 Sep 2021 16:33:53
Applications of the Universal Thermal Climate Index UTCI in Biometeorology: Latest Developments and Case Studies

Applications of the Universal Thermal Climate Index UTCI in Biometeorology: Latest Developments and Case Studies by Eduardo L. Krüger
English | EPUB | 2021 | 234 Pages | ISBN : 3030767159 | 44.6 MB

This book introduces the UTCI (Universal Thermal Climate Index) and summarizes progress in this area. The UTCI was developed as part of the European COST Action Program and first announced to the scientific community in 2009. Since then, a decade has followed of applicability tests and research results, as well as knowledge gained from applying the UTCI in human adaptation and thermal perception. These findings are of interest to researchers in the interdisciplinary areas of biometeorology, climatology and urban planning.
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