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Inference Heavy Tailed Data Applications by Peng Liang (5 results)
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Inference for Heavy-Tailed Data: Applications in Insurance and Finance
Published by Elsevier Science Publishing Co Inc, 2017
ISBN 10: 0128046767 ISBN 13: 9780128046760
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 117.82
Convert currencyUS$ 13.61 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 338.
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US$ 105.28
Convert currencyUS$ 33.59 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 174 pages. 8.75x6.00x0.50 inches. In Stock.
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US$ 102.37
Convert currencyUS$ 6.45 shipping from Italy to U.S.A.Quantity: Over 20 available
Add to basketCondition: new. Questo è un articolo print on demand.
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Inference for Heavy-Tailed Data: Applications in Insurance and Finance
Published by Elsevier Science & Technology|Academic Press, 2017
ISBN 10: 0128046767 ISBN 13: 9780128046760
Language: English
US$ 112.09
Convert currencyUS$ 57.47 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
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US$ 123.66
Convert currencyUS$ 72.15 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: 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.
