000			02047nam a22002897a 4500
001			sulb-eb0015223
003			BD-SySUS
005			20160405134117.0
008			110216s2014||||enk o ||1 0|eng|d
020			_a9781139020251 (ebook)
020			_z9780521830485 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aHG8781 _b.B675 2014
082	0	0	_a368/.01 _223
100	1		_aBølviken, Erik, _eauthor.
245	1	0	_aComputation and Modelling in Insurance and Finance / _cErik Bølviken.
246	3		_aComputation & Modelling in Insurance & Finance
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (709 pages) : _bdigital, PDF file(s).
490	0		_aInternational Series on Actuarial Science
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aFocusing on what actuaries need in practice, this introductory account provides readers with essential tools for handling complex problems and explains how simulation models can be created, used and re-used (with modifications) in related situations. The book begins by outlining the basic tools of modelling and simulation, including a discussion of the Monte Carlo method and its use. Part II deals with general insurance and Part III with life insurance and financial risk. Algorithms that can be implemented on any programming platform are spread throughout and a program library written in R is included. Numerous figures and experiments with R-code illustrate the text. The author's non-technical approach is ideal for graduate students, the only prerequisites being introductory courses in calculus and linear algebra, probability and statistics. The book will also be of value to actuaries and other analysts in the industry looking to update their skills.
776	0	8	_iPrint version: _z9780521830485
830		0	_aInternational Series on Actuarial Science.
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9781139020251
942			_2Dewey Decimal Classification _ceBooks
999			_c37067 _d37067