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(Ebook) Inference for Heavy-Tailed Data: Applications in Insurance and Finance by Liang Peng, Yongcheng Qi ISBN 9780128046760, 0128046767

  • SKU: EBN-6984568
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Authors:Liang Peng, Yongcheng Qi
Pages:180 pages.
Year:2017
Editon:1
Publisher:Academic Press
Language:english
File Size:2.29 MB
Format:pdf
ISBNS:9780128046760, 0128046767
Categories: Ebooks

Product desciption

(Ebook) Inference for Heavy-Tailed Data: Applications in Insurance and Finance by Liang Peng, Yongcheng Qi ISBN 9780128046760, 0128046767

Heavy tailed data appears frequently in social science, internet traffic, insurance and finance. Statistical inference has been studied for many years, which includes recent bias-reduction estimation for tail index and high quantiles with applications in risk management, empirical likelihood based interval estimation for tail index and high quantiles, hypothesis tests for heavy tails, the choice of sample fraction in tail index and high quantile inference. These results for independent data, dependent data, linear time series and nonlinear time series are scattered in different statistics journals. Inference for Heavy-Tailed Data Analysis puts these methods into a single place with a clear picture on learning and using these techniques.Contains comprehensive coverage of new techniques of heavy tailed data analysisProvides examples of heavy tailed data and its usesBrings together, in a single place, a clear picture on learning and using these techniques
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