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Titlebook: Old and New Perspectives on Mortality Forecasting; Tommy Bengtsson,Nico Keilman Book‘‘‘‘‘‘‘‘ 2019 The Editor(s) (if applicable) and The Au

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發(fā)表于 2025-3-21 18:02:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Old and New Perspectives on Mortality Forecasting
編輯Tommy Bengtsson,Nico Keilman
視頻videohttp://file.papertrans.cn/701/700828/700828.mp4
概述This open access edited collection describes state-of-the-art methods of mortality forecasting.Includes statistical approaches as well as behavioural and biological perspectives.Provides an interdisci
叢書(shū)名稱Demographic Research Monographs
圖書(shū)封面Titlebook: Old and New Perspectives on Mortality Forecasting;  Tommy Bengtsson,Nico Keilman Book‘‘‘‘‘‘‘‘ 2019 The Editor(s) (if applicable) and The Au
描述This 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 It contains a selection of previously unpublished and published papers, which together provide a state-of-the-art overview of statistical approaches as well as behavioural and biological perspectives.?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.
出版日期Book‘‘‘‘‘‘‘‘ 2019
關(guān)鍵詞open access; Mortality forecast; Longevity and life expectancy; Cause of death; Forecast accuracy; Models
版次1
doihttps://doi.org/10.1007/978-3-030-05075-7
isbn_ebook978-3-030-05075-7Series ISSN 1613-5520 Series E-ISSN 2197-9286
issn_series 1613-5520
copyrightThe Editor(s) (if applicable) and The Author(s) 2019
The information of publication is updating

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The Linear Rise in the Number of Our Daysnchanged – in developed countries were close to an ultimate limit, then increases in record life expectancy – the average length of life in the best-practice population – should slow as the ceiling is asymptotically approached.
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Mortality Forecasts. Comments on How to Improve Existing Models – An Epidemiologist’s PerspectiveFrom an epidemiologist’s perspective, one way to improve mortality forecasts is to gain insight into the causes and predictors of mortality. If we know the “risk profile” of the current cohorts compared to the previous cohorts, then our forecasts may improve.
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The Editor(s) (if applicable) and The Author(s) 2019
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