{"product_id":"generalized-linear-models-for-insurance-data-hardback-9780521879149","title":"Generalized Linear Models for Insurance Data (Hardback) 9780521879149","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eGeneralized Linear Models for Insurance Data\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eAll techniques illustrated on data sets relevant to insurance; SAS code and output, data sets, exercise solutions on website\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003ePiet de Jong (Author), Gillian Z. Heller (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780521879149, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 February 2008\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e208 pages, 34 b\/w illus.  5 colour illus.  43 tables  25 exercises\u003cbr\u003e23.1 x 15.2 x 1.5 cm, 0.43 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"I would recommend such a book to my students without hesitation.\"  \u003cbr\u003eCho-Jieh Chen, Journal of the American Statistical Association\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis 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.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e 1. Insurance data\u003cbr\u003e 2. Response distributions\u003cbr\u003e 3. Exponential family responses and estimation\u003cbr\u003e 4. Linear modeling\u003cbr\u003e 5. Generalized linear models\u003cbr\u003e 6. Models for count data\u003cbr\u003e 7. Categorical responses\u003cbr\u003e 8. Continuous responses\u003cbr\u003e 9. Correlated data\u003cbr\u003e 10. Extensions to the Generalized linear model\u003cbr\u003e Appendix 1. Computer code and output\u003cbr\u003e Bibliography\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46004080771352,"sku":"9780521879149","price":80.98,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780521879149i_1aa497f7-a1d1-4ffa-a92b-eaaf94c98e7f.jpg?v=1691358779","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/generalized-linear-models-for-insurance-data-hardback-9780521879149","provider":"Freshly Printed Books","version":"1.0","type":"link"}