{"product_id":"9783540928997","title":"EAA Series","description":"\u003ch1\u003eEAA Series\u003c\/h1\u003e \u003ch2\u003eSundt, Bjoern; Vernic, Raluca\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eSince 1980, methods for recursive evaluation of aggregate claims distributions have received extensive attention in the actuarial literature.\u003c\/p\u003e\n\u003cp\u003eThis book gives a unified survey of the theory and is intended to be self-contained to a large extent. As the methodology is applicable also outside the actuarial field, it is presented in a general setting, but actuarial applications are used for motivation. \u003c\/p\u003e\n\u003cp\u003eThe book is divided into two parts. Part I is devoted to univariate distributions, whereas in Part II, the methodology is extended to multivariate settings.\u003c\/p\u003e\n\u003cp\u003ePrimarily intended as a monograph, this book can also be used as text for courses on the graduate level. Suggested outlines for such courses are given.\u003c\/p\u003e\n\u003cp\u003eThe book is of interest for actuaries and statisticians working within the insurance and finance industry, as well as for people in other fields like operations research and reliability theory.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2009-04-03\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783540928997\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-540-92900-0\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 345\u003c\/p\u003e ","brand":"Springer Berlin Heidelberg","offers":[{"title":"Default Title","offer_id":46544941973644,"sku":"9783540928997","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783540928997.jpg?v=1775756832","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783540928997","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}