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...
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2008
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| Schriftenreihe: | International series on actuarial science
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| Links: | https://doi.org/10.1017/CBO9780511755408 |
| 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. |
| Umfang: | 1 Online-Ressource (x, 196 Seiten) |
| ISBN: | 9780511755408 |
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| indexdate | 2025-03-03T11:58:03Z |
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| series2 | International series on actuarial science |
| spelling | Jong, Piet de Generalized linear models for insurance data Piet de Jong, Gillian Z. Heller Cambridge Cambridge University Press 2008 1 Online-Ressource (x, 196 Seiten) txt c cr International series on actuarial science 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. Heller, Gillian Z. Erscheint auch als Druck-Ausgabe 9780521879149 |
| spellingShingle | Jong, Piet de Generalized linear models for insurance data |
| 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 |
| work_keys_str_mv | AT jongpietde generalizedlinearmodelsforinsurancedata AT hellergillianz generalizedlinearmodelsforinsurancedata |