Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance:
Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-manag...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York
Cambridge University Press
2016
|
| Series: | International series on actuarial science
|
| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| Summary: | Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out |
| Item Description: | Title from publisher's bibliographic system (viewed on 08 Aug 2016) |
| Physical Description: | 1 online resource (xix, 315 pages) |
| ISBN: | 9781139342681 |
| DOI: | 10.1017/CBO9781139342681 |
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| id | DE-604.BV043940093 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:12Z |
| institution | BVB |
| isbn | 9781139342681 |
| language | English |
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| physical | 1 online resource (xix, 315 pages) |
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| publishDate | 2016 |
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| publisher | Cambridge University Press |
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| series2 | International series on actuarial science |
| spelling | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance [edited by] Edward W. Frees, Glenn Meyers, Richard A. Derrig New York Cambridge University Press 2016 1 online resource (xix, 315 pages) txt rdacontent c rdamedia cr rdacarrier International series on actuarial science Title from publisher's bibliographic system (viewed on 08 Aug 2016) Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out Mathematisches Modell Actuarial science Insurance / Mathematical models Forecasting / Mathematical models Frees, Edward W. edt Meyers, Glenn edt Derrig, Richard A. edt Erscheint auch als Druckausgabe 978-1-107-02988-0 https://doi.org/10.1017/CBO9781139342681 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance Mathematisches Modell Actuarial science Insurance / Mathematical models Forecasting / Mathematical models |
| title | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance |
| title_auth | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance |
| title_exact_search | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance |
| title_full | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance [edited by] Edward W. Frees, Glenn Meyers, Richard A. Derrig |
| title_fullStr | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance [edited by] Edward W. Frees, Glenn Meyers, Richard A. Derrig |
| title_full_unstemmed | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance [edited by] Edward W. Frees, Glenn Meyers, Richard A. Derrig |
| title_short | Predictive modeling applications in actuarial science, Volume 2, Case studies in insurance |
| title_sort | predictive modeling applications in actuarial science volume 2 case studies in insurance |
| topic | Mathematisches Modell Actuarial science Insurance / Mathematical models Forecasting / Mathematical models |
| topic_facet | Mathematisches Modell Actuarial science Insurance / Mathematical models Forecasting / Mathematical models |
| url | https://doi.org/10.1017/CBO9781139342681 |
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