Generalized linear models for insurance data:
This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using in...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2008
|
| Schriftenreihe: | International series on actuarial science
|
| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBY01 URL des Erstveröffentlichers |
| Zusammenfassung: | This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (x, 196 pages) |
| ISBN: | 9780511755408 |
| DOI: | 10.1017/CBO9780511755408 |
Internformat
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Datensatz im Suchindex
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| author | Jong, Piet de |
| author_facet | Jong, Piet de |
| author_role | aut |
| author_sort | Jong, Piet de |
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| building | Verbundindex |
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| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9780511755408 (OCoLC)967678644 (DE-599)BVBBV043940600 |
| dewey-full | 368.01 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 368 - Insurance |
| dewey-raw | 368.01 |
| dewey-search | 368.01 |
| dewey-sort | 3368.01 |
| dewey-tens | 360 - Social problems and services; associations |
| discipline | Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511755408 |
| format | Electronic eBook |
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| id | DE-604.BV043940600 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:13Z |
| institution | BVB |
| isbn | 9780511755408 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349570 |
| oclc_num | 967678644 |
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| publishDate | 2008 |
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| publisher | Cambridge University Press |
| record_format | marc |
| series2 | International series on actuarial science |
| spelling | Jong, Piet de Verfasser aut Generalized linear models for insurance data Piet de Jong, Gillian Z. Heller Cambridge Cambridge University Press 2008 1 online resource (x, 196 pages) txt rdacontent c rdamedia cr rdacarrier International series on actuarial science Title from publisher's bibliographic system (viewed on 05 Oct 2015) This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website Mathematik Insurance / Mathematics Linear models (Statistics) Versicherungsmathematik (DE-588)4063194-1 gnd rswk-swf Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd rswk-swf Versicherungsmathematik (DE-588)4063194-1 s Verallgemeinertes lineares Modell (DE-588)4124382-1 s 1\p DE-604 Heller, Gillian Z. Sonstige oth Erscheint auch als Druckausgabe 978-0-521-87914-9 https://doi.org/10.1017/CBO9780511755408 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Jong, Piet de Generalized linear models for insurance data Mathematik Insurance / Mathematics Linear models (Statistics) Versicherungsmathematik (DE-588)4063194-1 gnd Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd |
| subject_GND | (DE-588)4063194-1 (DE-588)4124382-1 |
| title | Generalized linear models for insurance data |
| title_auth | Generalized linear models for insurance data |
| title_exact_search | Generalized linear models for insurance data |
| title_full | Generalized linear models for insurance data Piet de Jong, Gillian Z. Heller |
| title_fullStr | Generalized linear models for insurance data Piet de Jong, Gillian Z. Heller |
| title_full_unstemmed | Generalized linear models for insurance data Piet de Jong, Gillian Z. Heller |
| title_short | Generalized linear models for insurance data |
| title_sort | generalized linear models for insurance data |
| topic | Mathematik Insurance / Mathematics Linear models (Statistics) Versicherungsmathematik (DE-588)4063194-1 gnd Verallgemeinertes lineares Modell (DE-588)4124382-1 gnd |
| topic_facet | Mathematik Insurance / Mathematics Linear models (Statistics) Versicherungsmathematik Verallgemeinertes lineares Modell |
| url | https://doi.org/10.1017/CBO9780511755408 |
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