正題名/作者 : Old and new perspectives on mortality forecasting/ edited by Tommy Bengtsson, Nico Keilman.
其他作者 : Bengtsson, Tommy.
出版者 : Cham :Springer International Publishing :2019.
面頁冊數 : xi, 349 p. :ill. (some col.), digital ;24 cm.
Contained By : Springer eBooks
標題 : Mortality - Statistical methods. -
電子資源 : 線上閱讀(Springer)
ISBN : 9783030050757$q(electronic bk.)
ISBN : 9783030050740$q(paper)
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090 $aE-BOOK/304.64///UE038118
245 00$aOld and new perspectives on mortality forecasting$h[electronic resource] /$cedited by Tommy Bengtsson, Nico Keilman.
260 $aCham :$bSpringer International Publishing :$bImprint: Springer,$c2019.
300 $axi, 349 p. :$bill. (some col.), digital ;$c24 cm.
490 1 $aDemographic research monographs,$x1613-5520
506 $aOpen access.
520 $aThis open access book describes methods of mortality forecasting and discusses possible improvements. It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives. The different parts of the book provide discussions of current practice, probabilistic forecasting, the linearity in the increase of life expectancy, causes of death, and the role of cohort factors. The key question in the book is whether it is possible to project future mortality accurately, and if so, what is the best approach. This makes the book a valuable read to demographers, pension planners, actuaries, and all those interested and/or working in modelling and forecasting mortality.".
650 0$aMortality$xStatistical methods.$3159567
650 14$aDemography.$3138645
650 24$aPopulation Economics.$3401765
650 24$aStatistics for Social Sciences, Humanities, Law.$3537694
700 1 $aBengtsson, Tommy.$3185109
700 1 $aKeilman, Nico.$3543938
710 2 $aSpringerLink (Online service)$3374217
773 0 $tSpringer eBooks
830 0$aDemographic research monographs.$3303017
856 40$uhttps://erm.library.ntpu.edu.tw/login?url=https://doi.org/10.1007/978-3-030-05075-7$z線上閱讀(Springer)
950 $aSocial Sciences (Springer-41176)