{"product_id":"predictive-modeling-applications-in-actuarial-science-volume-1-predictive-modeling-techniques-hardback-9781107029873","title":"Predictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques (Hardback) 9781107029873","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003ePredictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eThis book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eEdward W. Frees (Edited by), Richard A. Derrig (Edited by), Glenn Meyers (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781107029873, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 28 July 2014\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e563 pages, 120 b\/w illus.  94 tables  26 exercises\u003cbr\u003e25.5 x 17.9 x 3.7 cm, 1.12 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'With contributions coming from a wide variety of researchers, professors, and actuaries - including several CAS Fellows - it's clear that this book will be valuable for any P and C actuary whose main concern is using predictive modeling in his or her own work.' David Zornek, Actuarial Review\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003ePredictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practising analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes lifelong learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used by analysts to gain a competitive advantage in situations with complex data.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Predictive modeling in actuarial science Edward W. Frees and Richard A. Derrig\u003cbr\u003e Part I. Predictive Modeling Foundations: 2. Overview of linear models Marjorie Rosenberg\u003cbr\u003e 3. Regression with categorical dependent variables Montserrat Guillen\u003cbr\u003e 4. Regression with count-dependent variables Jean-Philippe Boucher\u003cbr\u003e 5. Generalized linear models Curtis Gary Dean\u003cbr\u003e 6. Frequency and severity models Edward W. Frees\u003cbr\u003e Part II. Predictive Modeling Methods: 7. Longitudinal and panel data models Edward W. Frees\u003cbr\u003e 8. Linear mixed models Katrien Antonio and Yanwei Zhang\u003cbr\u003e 9. Credibility and regression modeling Vytaras Brazauskas, Harald Dornheim and Ponmalar Ratnam\u003cbr\u003e 10. Fat-tailed regression models Peng Shi\u003cbr\u003e 11. Spatial modeling Eike Brechmann and Claudia Czado\u003cbr\u003e 12. Unsupervised learning Louise Francis\u003cbr\u003e Part III. Bayesian and Mixed Modeling: 13. Bayesian computational methods Brian Hartman\u003cbr\u003e 14. Bayesian regression models Luis Nieto-Barajas and Enrique de Alba\u003cbr\u003e 15. Generalized additive models and nonparametric regression Patrick L. Brockett, Shuo-Li Chuang and Utai Pitaktong\u003cbr\u003e 16. Non-linear mixed models Katrien Antonio and Yanwei Zhang\u003cbr\u003e Part IV. Longitudinal Modeling: 17. Time series analysis Piet de Jong\u003cbr\u003e 18. Claims triangles\/loss reserves Greg Taylor\u003cbr\u003e 19. Survival models Jim Robinson\u003cbr\u003e 20. Transition modeling Bruce Jones and Weijia Wu.\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], Insurance \u0026amp; actuarial studies [\u003ca title=\"See our other books on Insurance \u0026amp; actuarial studies\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Insurance%20\u0026amp;%20actuarial%20studies%20%5BKFFN%5D%22\"\u003eKFFN\u003c\/a\u003e], Finance [\u003ca title=\"See our other books on Finance\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Finance%20%5BKFF%5D%22\"\u003eKFF\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":46001124933912,"sku":"9781107029873","price":71.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781107029873i_bb25faa0-7f71-4630-bfea-b58a0d9a2ed9.jpg?v=1691361344","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/predictive-modeling-applications-in-actuarial-science-volume-1-predictive-modeling-techniques-hardback-9781107029873","provider":"Freshly Printed Books","version":"1.0","type":"link"}