000 02335nam a22003858i 4500
001 CR9781107051386
003 UkCbUP
005 20200124160338.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 130326s2018||||enk o ||1 0|eng|d
020 _a9781107051386 (ebook)
020 _z9781107045415 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aHG8781
_b.M33 2018
082 0 4 _a368/.01
_223
100 1 _aMacdonald, Angus S.,
_eauthor.
245 1 0 _aModelling mortality with actuarial applications /
_cAngus S. Macdonald, Stephen J. Richards, Iain D. Currie.
264 1 _aCambridge :
_bCambridge University Press,
_c2018.
300 _a1 online resource (xv, 369 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aInternational series on actuarial science
500 _aTitle from publisher's bibliographic system (viewed on 27 Apr 2018).
520 _aActuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will pave the way, from methods using aggregate counts to modern developments in survival analysis. Based on the fundamental concept of the hazard rate, Part I shows how and why to build statistical models, based on data at the level of the individual persons in a pension scheme or life insurance portfolio. Extensive use is made of the R statistics package. Smooth models, including regression and spline models in one and two dimensions, are covered in depth in Part II. Finally, Part III uses multiple-state models to extend survival models beyond the simple life/death setting, and includes a brief introduction to the modern counting process approach. Practising actuaries will find this book indispensable, and students will find it helpful when preparing for their professional examinations.
650 0 _aActuarial science.
650 0 _aInsurance
_xMathematical models.
650 0 _aForecasting
_xMathematical models.
700 1 _aRichards, Stephen J.,
_eauthor.
700 1 _aCurrie, Iain D.,
_eauthor.
776 0 8 _iPrint version:
_z9781107045415
830 0 _aInternational series on actuarial science.
856 4 0 _uhttps://doi.org/10.1017/9781107051386
999 _c523258
_d523256