| Description |
1 online resource (vii, 196 pages). |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
International series on actuarial science
|
|
International series on actuarial science.
|
| Bibliography |
Includes bibliographical references and index. |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Insurance -- Mathematics.
|
|
Insurance -- Mathematics. |
|
Linear models (Statistics)
|
|
Linear models (Statistics) |
| Genre/Form |
Electronic books.
|
| Added Author |
Heller, Gillian Z.
|
| Other Form: |
Print version: Jong, Piet de. Generalized linear models for insurance data. Cambridge ; New York : Cambridge University Press, 2008 9780521879149 0521879140 (OCoLC)166382264 |
| ISBN |
9780511388774 (electronic book) |
|
0511388772 (electronic book) |
|
9780511380983 (electronic book ; Adobe Reader) |
|
0511380984 (electronic book ; Adobe Reader) |
|
0511387768 (electronic book) |
|
9780511387760 (electronic book) |
|
9780511384943 (ebook) |
|
0511384947 (ebook) |
|
9780511755408 |
|
0511755406 |
|
0521879140 (Cloth) |
|
9780521879149 (hardback) |
| Standard No. |
9786611254827 |
|
