02196cam a22004095i 450000100090000000300080000900500170001700600190003400700150005300800410006801000170010902000240012603500320015004000360018207200230021807200170024107200160025808200200027424501290029426000310042330000480045436500170050250400410051952007550056058800550131565000180137065000310138870000250141970000240144470000230146870000220149170000280151377601370154177600360167877600360171477600360175021735525BD-DhUL20220927120930.0m |o d | cr |||||||||||171229s2018 sz a||| |b |||| 0|eng  a 2019753220 a9783319898230 (hbk) a(DE-He213)978-3-319-50234-2 aDLCbengepnerdacDLCdBD-DhUL 7aBUS0330002bisacsh 7aKFFN2bicssc 7aKFFN2thema a330.015195bMAT10aMathematical and statistical methods for actuarial sciences and finance : bMAF 2018 /cedited by Marco Corazza ...[et al.]. aCham : bSpringer, c2018. axvi, 518 p. : bill. (some col.) ; c24 cm. aEurob199.93 aIncludes bibliographical references. aThis volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the UniversiteĢ Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals. aDescription based on publisher-supplied MARC data. 0aEconometrics. 0aMathematical optimization.1 aCorazza, Marco.eed.1 aDurban, Maria.eed.1 aGrane, Aurea.eed.1 aPerna, Cira.eed.1 aSibillo, Marilena.eed.08iPrint version:tMathematical and statistical methods for actuarial sciences and finance : MAF 2016z9783319502335w(DLC) 201796287208iPrinted edition:z978331950233508iPrinted edition:z978331950235908iPrinted edition:z9783319843520