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Synopsis
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.
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À propos des auteurs
Dr Liang Peng is based at the Department of Risk Management and Insurance at Robinson College of Business, Georgia State University, USA
Dr Yongcheng Qi is based at the Department of Mathematics and Statistics at the University of Minnesota, USA.
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- ÉditeurAcademic Press Inc
- Date d'édition2017
- ISBN 10 0128046767
- ISBN 13 9780128046760
- ReliureBroché
- Langueanglais
- Nombre de pages180
- Coordonnées du fabricantnon disponible
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Inference for Heavy-Tailed Data: Applications in Insurance and Finance
Edité par
Elsevier Science & Technology|Academic Press, 2017
ISBN 10 : 0128046767
ISBN 13 : 9780128046760
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N° de réf. du vendeur 594361800
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Inference for Heavy-Tailed Data
Edité par
Elsevier Science Aug 2017, 2017
ISBN 10 : 0128046767
ISBN 13 : 9780128046760
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch. N° de réf. du vendeur 9780128046760
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Inference for Heavy-tailed Data: Applications in Insurance and Finance
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Paperback. Etat : Brand New. 174 pages. 8.75x6.00x0.50 inches. In Stock. N° de réf. du vendeur __0128046767
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Inference for Heavy-Tailed Data: Applications in Insurance and Finance
Edité par
Elsevier Science Publishing Co Inc, 2017
ISBN 10 : 0128046767
ISBN 13 : 9780128046760
Neuf
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Inference for Heavy-Tailed Data : Applications in Insurance and Finance
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9780128046760
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Inference for Heavy-Tailed Data: Applications in Insurance and Finance
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