The statistical analysis of extreme data is important for disciplines such as hydrology, insurance, finance, engineering and environmental sciences. This book provides an introduction to the parametric modelling, exploratory analysis and statistical interference for extreme values. Besides numerous data-based examples, the book contains chapters on flood frequency analysis, insurance and finance. This second extended edition include: the statistical modelling of tails in conjunction with the global modelling of distributions with special emphasis on heavy-tailed distribution; the Bayesian methodology with applications to regional flood frequency analysis and credibility estimation in reinsurance business; a thorough treatment of the phenomenon of penultimate distributions; an extension of the chapter about multivariate extreme value models, especially for the Gumbel-McFadden model with an application to the theory of economic choice behaviour; sections about corrosion analysis and oldest-old problem; and risk assessment of financial assets and portfolios in the presence of fat and heavy-tailed distributions by means of the value-at-risk (VaR).
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Michael Thomas teaches and researches in digital business communication and language learning Technologies and directs the MA TESOL in blended learning in the Faculty of Arts and Humanities at the University of Central Lancashire. Until recently he was full professor specialising in digital technologies for language education at Nagoya University of Commerce & Business in Japan. His research interests are in ICT in education, task-based learning, digital literacies and digital technologies, and the philosophy of technology. His recent publications have examined the use of social media on communication and learning. He is editor of the" International Journal of Virtual and Personal Learning Environments "and associate editor of the" International Journal of Computer Assisted Language Learning and Teaching". Since 2007 he has organized an international symposium series on digital technologies and education in Japan focusing on Web 2 applications and social media.
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