Modelling of Low Probability High Impact Events: Estimating Yearly Losses Incurred Due to Tornadoes in the United States - Softcover
Synopsis
In many real world phenomena the need for modelling of losses caused by an underlying process that generates both large number of occurrences with minor losses and occurrences with severe impact exists. Prominent examples are natural disasters (earthquakes, hurricanes, tornadoes etc.), operational losses in highly regulated institutions or claims generated by an insurance policy. In each case, the aggregated loss distribution can be modelled with a so called compound model that is a combination of two separate distributions describing the number of events and their severities. In the first part of this book in-depth description of the compound model is provided. The formal discussion is then followed by a case study, in which the previously elaborated theory is applied to model yearly losses incurred due to tornadoes in the United States.
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Modelling of Low Probability High Impact Events
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AV Akademikerverlag Feb 2019, 2019
ISBN 10: 6202221925
ISBN 13: 9786202221924
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In many real world phenomena the need for modelling of losses caused by an underlying process that generates both large number of occurrences with minor losses and occurrences with severe impact exists. Prominent examples are natural disasters (earthquakes, hurricanes, tornadoes etc.), operational losses in highly regulated institutions or claims generated by an insurance policy. In each case, the aggregated loss distribution can be modelled with a so called compound model that is a combination of two separate distributions describing the number of events and their severities. In the first part of this book in-depth description of the compound model is provided. The formal discussion is then followed by a case study, in which the previously elaborated theory is applied to model yearly losses incurred due to tornadoes in the United States. 88 pp. Englisch. Seller Inventory # 9786202221924
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Modelling of Low Probability High Impact Events: Estimating Yearly Losses Incurred Due to Tornadoes in the United States
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Modelling of Low Probability High Impact Events
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Majka MichalMichal Majka holds a graduate degree in Statistics from the University of Vienna. His main interests are modelling low-probability high-impact events and developing open-source software with the programming language R. He. Seller Inventory # 276771235
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Modelling of Low Probability High Impact Events
Published by
AV Akademikerverlag Feb 2019, 2019
ISBN 10: 6202221925
ISBN 13: 9786202221924
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In many real world phenomena the need for modelling of losses caused by an underlying process that generates both large number of occurrences with minor losses and occurrences with severe impact exists. Prominent examples are natural disasters (earthquakes, hurricanes, tornadoes etc.), operational losses in highly regulated institutions or claims generated by an insurance policy. In each case, the aggregated loss distribution can be modelled with a so called compound model that is a combination of two separate distributions describing the number of events and their severities. In the first part of this book in-depth description of the compound model is provided. The formal discussion is then followed by a case study, in which the previously elaborated theory is applied to model yearly losses incurred due to tornadoes in the United States.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Seller Inventory # 9786202221924
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Modelling of Low Probability High Impact Events : Estimating Yearly Losses Incurred Due to Tornadoes in the United States
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In many real world phenomena the need for modelling of losses caused by an underlying process that generates both large number of occurrences with minor losses and occurrences with severe impact exists. Prominent examples are natural disasters (earthquakes, hurricanes, tornadoes etc.), operational losses in highly regulated institutions or claims generated by an insurance policy. In each case, the aggregated loss distribution can be modelled with a so called compound model that is a combination of two separate distributions describing the number of events and their severities. In the first part of this book in-depth description of the compound model is provided. The formal discussion is then followed by a case study, in which the previously elaborated theory is applied to model yearly losses incurred due to tornadoes in the United States. Seller Inventory # 9786202221924
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Modelling of Low Probability High Impact Events | Estimating Yearly Losses Incurred Due to Tornadoes in the United States
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Taschenbuch. Condition: Neu. Modelling of Low Probability High Impact Events | Estimating Yearly Losses Incurred Due to Tornadoes in the United States | Michal Majka | Taschenbuch | 88 S. | Englisch | 2019 | AV Akademikerverlag | EAN 9786202221924 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 115572254
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Modelling of Low Probability High Impact Events : Estimating Yearly Losses Incurred Due to Tornadoes in the United States
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | In many real world phenomena the need for modelling of losses caused by an underlying process that generates both large number of occurrences with minor losses and occurrences with severe impact exists. Prominent examples are natural disasters (earthquakes, hurricanes, tornadoes etc.), operational losses in highly regulated institutions or claims generated by an insurance policy. In each case, the aggregated loss distribution can be modelled with a so called compound model that is a combination of two separate distributions describing the number of events and their severities. In the first part of this book in-depth description of the compound model is provided. The formal discussion is then followed by a case study, in which the previously elaborated theory is applied to model yearly losses incurred due to tornadoes in the United States. Seller Inventory # 33762096/2